Positions

  • Present 2011

    Collaborating Researcher

    Institute of Computer Science, Foundation of Research & Technology (FORTH)

  • Present 2016

    Project Evaluator

    General Secretary of Research and Technology

  • Present 2014

    Visiting Lecturer

    Computer Science Department, University of Crete

  • Present 2013

    Visiting Lecturer

    Department of Informatics Engineering, Technological Educational Institute of Crete

  • 2011 2010

    Scientific Specialist

    Information Systems Division, Hellenic Army

  • 2010 2003

    Research Assistant

    Institute of Computer Science, Foundation of Research & Technology (FORTH)

  • 2008 2008

    R & D Engineer & External Advisor

    PLANET S.A

Education & Training

  • Ph.D. 2010

    Ph.D. in Information Systems

    Computer Science Department, University of Crete, Greece

  • M.Sc.2006

    Master in Information Systems & Telecommunications

    Computer Science Department, University of Crete, Greece

  • B.A.2003

    Bachelor in Computer Science

    Computer Science Department, University of Crete, Greece

Honors, Awards and Grants

  • July 2017
    H2020-SC1-2016-2017 - Grant
    BOUNCE Project – Personalised medicine
  • June 2017
    Finalist for the best paper award IEEE CBMS
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    iManageCancer: Developing a platform for Empowering patients and strengthening self-management in cancer diseases
  • February 2017
    Post-Doctoral IKY scholarship
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    Effective information indexing and partitioning for clustered RDF/S systems.
  • February 2017
    Teaching Grant - Acquisition of academic teaching experience to young scientists PhD holders
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    Teaching the course of Artificial Intelligence at Technological Educational Institute of Crete.
  • September 2016
    Teaching Grant - Acquisition of academic teaching experience to young scientists PhD holders
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    Teaching the course of Advanced Programming at Technological Educational Institute of Crete.
  • September 2016
    Finalist for European Linked Data Contest (Greece)
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    RDF Digest has been selected as the finalist from Greece to participate in the European Linked Data Contest
  • June 2015
    Top-3 Rated Paper
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    Georgia Troullinou, Haridimos Kondylakis, Evangelia Daskalaki, Dimitris Plexousakis: RDF Digest: Efficient Summarization of RDF/S KBs, Extended Semantic Web Conference (ESWC), 2015, pp 119-134, Portoroz, Slovenia
  • February 2015
    H2020 - PHC26 Grant
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    iManageCancer Project
  • 2006 - 2010
    PhD Student Fellowship
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    Institute of Computer Science, Foundation of Research & Technology (FORTH), Greece
  • 2003 – 2006
    MSc Student Fellowship
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    Institute of Computer Science, Foundation of Research & Technology (FORTH), Greece
  • 2002 – 2003
    Undergraduate Student Fellowship
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    Institute of Computer Science, Foundation of Research & Technology (FORTH), Greece

Current Research Projects

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    iManageCancer

    Empowering patients and strengthening self-management in cancer diseases (H2020).

    Over the last two decades, substantial progress has been made in the early detection, diagnosis, and treatment of cancer resulting in more and more patients who may be freed of their cancer. The disease can now be managed as a chronic illness requiring long-term surveillance and, in some cases, maintenance treatment that stretches from prevention to the end of life, with early detection, diagnosis, treatment, and survivorship in between. Chronic cancer treatment places new demands on patients and families to manage their own care. A collaborative and interactive relationship between patients and health professionals can empower patients to take on responsibility for their condition with the appropriate clinical support. Overcoming the challenge that patients see themselves as passive recipients of care could translate in aiding them in becoming motivated to take responsibility for their own contribution, in order to improve their health and well-being status, and feeling more empowered to do so. New ICT driven models of self-management-support developed within this project will enable them to better know their condition and the various treatment options, to monitor and manage the adverse events before they occur but also other symptoms and signs of their illness, to manage the impact of the disease on emotions, physical functioning and interpersonal relationships, to engage in activities that maintain their health and to form partnerships with oncologists and primary care providers, in order to negotiate and follow a plan of care.

    The iManageCancer project will provide a cancer specific self-management platform designed according to the needs of patient groups while in parallel focusing on the wellbeing of the cancer patient with special emphasis on avoiding, early detecting and managing adverse events of cancer therapy but also, importantly, on the psycho-emotional evaluation and self-motivated goals. The platform will be centred in a Personal Health Record that will exploit recent advances on Health Avatars for the individual cancer patient surrounded by mHealth applications designed to encourage the patient, enhance clinician-patient communication, maximise compliance to therapy, inform about drug interactions, and contribute to the management of pain and other side-effects of cancer treatment. The Health Avatar PHR will regularly monitor the psycho-emotional status of the patient and will periodically record the everyday life experiences of the cancer patient with respect to the therapy side effects, while different groups of patients and their families will share information through diaries. The PHR will be used to provide the clinician with valuable clinical information about the patients’ cancer state and will help assess adherence to therapy, physiological and psychological status while the platform will recommend targeted informative applications and serious games according to the disease type and psycho-emotional status of the patients in order to promote a positive and healthier psycho-emotional state, and thus reducing anxiety and depression. The disease management platform will be further complemented by an integrated expert system with formal self-management models executed by a Care Flow Engine that will be oriented to decision support, the management of side-effects, adherence to therapy and guidance for patients including drug dose self-adjustments where feasible.

    The iManageCancer platform will be designed on clinical evidence and in close collaboration of clinical experts, IT specialists and patients and will be assessed in clinical pilots with adult and paediatric cancer patients.

    The personalized services of the platform will be complemented by smart analytic data services that support research on anonymised patient data. A novel business model, the Health Data Cooperative, will be pursued as one alternative for the exploitation of the results of iManageCancer.

Past Research Projects

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    MyHealhAvatar

    A Demonstration of 4D Digital Avatar Infrastructure for Access of Complete PatientInformation (FP7-ICT-2011-9)

    Owing to the highly fragmented health systems in European countries, gaining access to a consistent record of individual citizens that involves cross-border activities is very difficult. MyHealthAvatar is an attempt at a proof of concept for the digital representation of patient health status. It is designed as a lifetime companion for individual citizens that will facilitate the collection of, and access to, long-term health-status information. This will be extremely valuable for clinical decisions and offer a promising approach to acquire population data to support clinical research, leading to strengthened multidisciplinary research excellence in supporting innovative medical care.

    MyHealthAvatar will be built on the latest ICT technology with an aim of engaging public interest to achieve its targeted outcomes. In addition to data access, it is also an interface to access integrative models and analysis tools, utilizing resources already created by the VPH community. Overall, it will contribute to individualized disease prediction and prevention and support healthy lifestyles and independent living. It is expected to exert a major influence on the reshaping of future healthcare in the handling of increased life expectancy and the ageing population in Europe. This complies with the priority and strategy of FP7 ICT for healthcare, and constitutes a preparatory action aiming at the grand challenge on a “Digital Patient”, which is currently the subject of a roadmap in the VPH community..

    MyHealthAvatar places a special emphasis on engaging the public. It has huge implications to the society both socially and economically. The initiative of designing a personal avatar can potentially change the way we think, communicate and search for information. Meanwhile, the acceptance of the avatars by the public will open opportunities for many industrial sectors, leading to the reinforced leadership of European industry.

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    EURECA

    Enabling information re-Use by linking clinical REsearch and CAre (FP7-ICT-2011-7)

    • Semantic Models
    • Ontology Matching
    • Knowledge Extraction
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    p-MEDICINE

    From data sharing and integration via VPH models to personalized medicine (FP7-ICT-2009.5.3)

    • Semantic Integration in DataWarehouses
    • Ontology-based data mining in DataWarehouses
    • Ontology evolution in DataWarehouses
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    eHealthMonitor

    Intelligent Knowledge Platform for Personal Health Monitoring Services (FP7-ICT-2011-7)

    • Semantic Models
    • Data Integration
    • Knowledge Extraction
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    INTEGRATE

    Driving Excellence in Integrative Cancer Research through Innovative Biomedical Infrastructures (FP7-ICT-2009.5.3)

    • Semantic Integration in DataWarehouses
    • Ontology-based data mining in DataWarehouses
    • Ontology evolution in DataWarehouses
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    plugIT

    Business and IT Alignment using Model-Based Plug-In Framework (FP7-3ICT-231413)

    • Development of Next Generation Modelling Methodology
    • Development of Next Generation Modelling Framework
    • Domain Ontology engineering through modelsS
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    TEAM

    Tightening Knowledge Sharing in Distributed software communities by applying semantic technologies(FP6-IST-2005-2.5.5)

    • Evaluation and Refinement of the TEAM Ontology
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    LOCCANDIA

    Lab-On-Chip based protein profiling for CANcer DIAgnosis (FP6-IST-2005-2.5.2)

    • Specifications and Design for the Proteomic Information Platform
    • Design and Specifications for the external components intergation
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    ACGT

    Advancing Clinico-Genomic Clinical Trials on Cancer (FP6-IST-026996)

    • Specification & Development of Semantic tools for integrating clinico-genomic data
    • Biomedical ontology development (Now an OBO foundry ontology)
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    PROGNOCHIP

    Development and Establishment of DNA Microarray Technology in Greece: Identification and Validation of Classification and Prognosis Molecular Markers for Breast Cancer (GSRT - Op. Pr. Competitiveness)

    • Development of a platform for modeling & storing Microarray experiments
    • Integration of clinico-genomic data in order to extract dna markers
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    Selene

    e-Learning Networks (EU - IST)

    • Creation of RDF description for e-learning
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    CYCLADES

    An Open Collaborative Virtual Archive Environment (EU - IST)

    • Evaluation of Cyclades system
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    Prover

    An interactive verifier for logic Programs (National Project)

    • Development of the prover system

Filter :

Citations:720, h-index:12, i10-index:15 (Aug. 2017)

News

Exploring Importance Measures for Summarizing RDF/S KBs

Alexandros Pappas, Georgia Troullinou, Giannis Roussakis, Haridimos Kondylakis , Dimitris Plexousakis
Conference Paper Extended Semantic Web Conference (ESWC) , pp. 387-403, 2017

Abstract

Given the explosive growth in the size and the complexity of the Data Web, there is now more than ever, an increasing need to develop methods and tools in order to facilitate the understanding and exploration of RDF/S Knowledge Bases (KBs). To this direction, summarization approaches try to produce an abridged version of the original data source, highlighting the most representative concepts. Central questions to summarization are: how to identify the most important nodes and then how to link them in order to produce a valid sub-schema graph. In this paper, we try to answer the first question by revisiting six wellknown measures from graph theory and adapting them for RDF/S KBs. Then, we proceed further to model the problem of linking those nodes as a graph Steiner- Tree problem (GSTP) employing approximations and heuristics to speed up the execution of the respective algorithms. The performed experiments show the added value of our approach since a) our adaptations outperform current state of the art measures for selecting the most important nodes and b) the constructed summary has a better quality in terms of the additional nodes introduced to the generated summary.

Integrated Care Solutions for the Citizen: Personal Health Record Functional Models to support Interoperability

Dimitrios G. Katehakis, Haridimos Kondylakis , Lefteris Koumakis, Angelina Kouroubali, Kostas Marias
Journal Paper European Journal for Biomedical Informatics , pp. 387-403, 2017

Abstract

The ever-growing demand for acquiring, managing and exploiting patient health related in-formation has led to the development of many e-Health systems and applications. However, despite the number of systems already developed and the apparent need for such systems, end users can only collect online and exploit, only a limited set of information for health purposes in the context of personalized, preventive and participatory medicine. To this direction, this paper initially presents the personal health record (PHR) concept, related work and best prac-tices for the development of PHR systems in a standardized manner. It also outlines the pro-posal for meaningful use criteria in the United States (US) and the health level seven (HL7) personal health record system functional model (PHR-S FM). Focus is put on trying to link core functionality modules of the Integarted Care SolutionsTM PHR system, designed to sup-port the citizen, paying emphasis on wellbeing, home care and the management of chronic diseases with PHR-S FM personal health functions, in a preliminary effort towards the explo-ration of functional models to support interoperability. Based on accumulated experiences from many EU research projects, the paper concludes by providing directions towards achiev-ing wider PHR adoption and meaningful use.

Εξερευνώντας Μέτρα Σημαντικότητάς για Δημιουργία Συνόψεων σε Βάσεις Δεδομένων RDF/S

Alexandros Pappas, Georgia Troullinou, Giannis Roussakis, Haridimos Kondylakis , Dimitris Plexousakis
Conference Paper Hellenic Data Management Symposium (HDMS) , (to appear)

Abstract

Δεδομένης της εκρηκτικής αύξησης του μεγέθους και της πολυπλοκότητας των δεδομένων στο διαδίκτυο, υπάρχει τώρα περισσότερο από ποτέ, μια αυξανόμενη ανάγκη για την ανάπτυξη μεθόδων και εργαλείων προκειμένου να διευκολυνθεί η κατανόηση και η εξερεύνηση βάσεων δεδομένων RDF/S. Προς αυτή την κατεύθυνση, μέθοδοι δημιουργίας συνόψεων επιδιώκουν την παραγωγή μιας συνοπτικής έκδοσης της αρχικής πηγής δεδομένων, αναδεικνύοντας τις πιο αντιπροσωπευτικές έννοιες. Βασικά ερωτήματα για την παραγωγή μιας σύνοψης είναι: το πως θα προσδιοριστούν οι σημαντικότεροι κόμβοι ενός συνόλου και εν συνεχεία, το πώς θα συνδεθούν προκειμένου να παραχθεί ένας έγκυρος υπογράφος. Σε αυτή την εργασία, προσπαθούμε να απαντήσουμε το πρώτο ερώτημα με την χρήση έξι μέτρων σημαντικότητας από την θεωρία γράφων, και την προσαρμογή τους για βάσεις δεδομένων RDF/S. Έπειτα μοντελοποιούμε το πρόβλημα της διασύνδεσης των κόμβων ως ένα Δέντρο Στάινερ σε γράφημα, διερευνώντας προσεγγιστικούς αλγορίθμους και ευρηστικά τεχνάσματα για να επιταχύνουμε την εκτέλεση τους των αλγορίθμων. Τα πειράματα που διεξήχθησαν, δείχνουν την προστιθέμενη αξία της προσέγγισής μας δεδομένου ότι α) οι προσαρμογές μας ξεπερνούν τις κορυφαίες τρέχουσες τεχνικές για την επιλογή των πιο σημαντικών κόμβων και β) η παραγόμενη σύνοψη έχει καλύτερη ποιότητα, εισάγοντας μικρότερο αριθμό πρόσθετων κόμβων.

i-Prolog: A Web-based Intelligent Tutoring System for Learning Prolog

Afroditi Stathaki, Haridimos Kondylakis, Emmanouil Marakakis

Abstract

Intelligent tutoring systems (ITS) incorporate techniques for transferring knowledge and skills to students. These systems use a combination of computer-aided instruction methods and artificial intelligence. In this paper we present a web-based intelligent tutoring system for learning Prolog. We present the architecture of our system and we provide details on each one of its modules. Each lesson includes the corresponding lecture with theory and exercises, a practice module where students can apply the corresponding theory and an assessment module to verify user’s understanding. The system can be used with or without a teacher enabling distant learning. Among the novelties of our system is its flexibility to adapt to individual student choices and profile, offering a wide range of alternatives and trying to continuously keep the interest of the final user. The preliminary evaluation performed confirms the usability of our system and the benefits of using it for learning Prolog.

EvoRDF: A framework for exploring ontology evolution

Haridimos Kondylakis , Melidoni Despoina, Georgios Glykokokalos, Eleftherios Kalykakis, Michail-Angelos Lasithiotakis, John Makridis, Panagiotis Moraitis, Aspasia Panteri, Maria Plevraki, Antonios Providakis, Maria Skalidaki, Athanasiadis Stefanos, Manolis Tampourat-zis, Eleftherios Trivizakis, Fanis Zarvakis, Ekaterini Zervouraki, Nikos Papadakis

Abstract

The evolution of ontologies is a reality in current research community. The problem of understanding and exploring this evolution is a fundamental problem as maintainers of depending artifacts need to take a decision about pos-sible changes and ontology engineers need to understand the reasons for this evo-lution. Recent research focuses on identifying and statically visualizing deltas be-tween ontology versions using various low- or high-level language of changes. In this paper we argue that this is not enough and we provide a complete solution enabling the active, dynamic exploration of the evolution of RDF/S ontologies using provenance queries. To this direction we construct an ontology of changes for modeling the language of changes and we store all changes as instances of this ontology in a triple store. On top of this triple store two visualization mod-ules, one individual app and one protégé plugin allow the exploration of the evo-lution using provenance queries. To the best of our knowledge our approach is unique in allowing the dynamic exploration of the evolution using provenance queries.

iManageCancer: Developing a platform for Empowering patients and strengthening self-management in cancer diseases

Haridimos Kondylakis, Anca Bucur, Feng Dong, Chiara Renzi, Andrea Manfrinati, Norbert Graf, Stefan Hoffman, Lefteris Koumakis, Gabriella Pravettoni, Kostas Marias, Manolis Tsiknakis and Stephan Kiefer

Abstract

Cancer research has led to more cancer patients being cured, and many more enabled to live with their cancer. As such, some cancers are now considered a chronic disease, where patients and their families face the challenge to take an active role in their own care and in some cases in their treatment. To this direction the iManageCancer project aims to provide a cancer specific self-management platform designed according to the needs of patient groups while focusing, in parallel, on the wellbeing of the cancer patient. A special emphasis was given to avoidance, early detection and management of adverse events of cancer therapy but also, importantly, on psycho-emotional evaluation and self-motivated goals. In this paper, we present the use-case requirements and then we explain the corresponding system architecture. We describe in detail the main technological components of the designed platform, and we discuss further directions of research.

Detection and Management of Depression in Cancer Patients using Augmented Reality Technologies, Multimodal Signal Processing and Persuasive Interfaces

Alexandros Roniotis, Haridimos Kondylakis, Manolis Tsiknakis

Abstract

This visual paper aims at proposing a framework for detecting depression in cancer patients using prosodic and statistical features extracted by speech, while chatting with an augmented reality virtual coach.

Current trends in Electronic Family Resilience Tools: Implementing a tool for the cancer domain

Eleni Kazantzaki, Lefteris Koumakis, Haridimos Kondylakis, Chiara Renzi, Chiara Fioretti, Ketti Mazzocco, Kostas Marias, Manolis Tsiknakis, Gabriella Pravettoni

Abstract

It is well documented that the diagnosis of cancer affects the wellbeing of the whole family adding overwhelming stresses and uncertainties. Having regard to that family education and enhancement of resilience is an important factor that should be promoted and facilitated in a holistic framework for addressing a severe and chronic condition such as cancer. In this paper we review shortly the notion of resilience in the literature identifying three tools that try to support family resilience. Then we focus in the cancer domain and we describe a unique tool implemented to this direction. To our knowledge, this is the first time such a tool will be used to complete patient profile with family resilience information eventually leading to patient and family engagement and empowerment.

Developing a collaborative knowledge system for Cancer Diseases

Mihalis Giannoulis, Emmanouil Marakakis and Haridimos Kondylakis

Abstract

In this paper we present a collaborative consultative knowledge system for cancer diseases. The «Worldwide Collaborative Consultative Knowledge System» aims to meet four goals. The first one is to be a tool which allows experts in a particular domain to develop a common knowledge base in a collaborative way. A second goal is the support of multiple knowledge bases. Each knowledge base is constructed to be used in a consultative way either from simple users or from experts of the domain offering high quality consultation services. In this paper we focus in cancer diseases. The third goal has to do with the usability and flexibility of our system. Basically that means less restrictions and more abstraction. The final goal is to be multilingual tool by using a translator subsystem that could auto-translate user’s input and output into the language of user’s choice.

Donor’s Support Tool: Enabling Informed Secondary Use of Patient’s Biomaterial and Personal Data

Haridimos Kondylakis, Lefteris Koumakis, Stephanie Hänold, Iheanyi Nwankwo, Nikolaus Forgó, Kostas Marias, Manolis Tsiknakis,c, Norbert Graf
Journal Paper International Journal of Medical Informatics, 2017:97: 282-292, DOI:10.1016/j.ijmedinf.2016.10.019
(2015 Impact Factor: 2.363, SJR (2015):1.4)

Abstract

Purpose. Biomedical research is being catalyzed by the vast amount of data rapidly collected through the application of information technologies (IT). Despite IT advances, the methods for involving patients and citizens in biomedical research remain static, paper-based and organized around national boundaries and anachronistic legal frameworks. The purpose of this paper is to study the current situation in the European Union and identify the requirements for building effective IT systems enabling the secondary use of data and biomaterial. Method. We review existing European legislation for secondary use of patient’s biomaterial and data for research, identify types and scopes of consent, formal requirements for consent, and consider their implications for implementing electronic consent tools. Results. In the light of our analysis of the European legislation requirements, we identified preconditions for building an effective tool enabling secondary usage of both patient’s data and biomaterial. We proceeded to develop a modular tool, named Donor’s Support Tool (DST), designed to connect researchers with participants, and to promote engagement, informed participation and individual decision making. As a proof of concept, we then deployed the tool in a real clinical environment; here we report our experiences showing the significant advantages and the potential of our approach.

Semantic Partitioning for RDF Datasets

Georgia Troullinou, Haridimos Kondylakis, Dimitris Plexousakis

Abstract

Today we are witnessing an explosion in the size and the amount of the available RDF datasets. As such, conventional single node RDF management systems give their position to clustered ones. However most of the currently available clustered RDF database systems partition data using hash functions and/or vertical and horizontal partition algorithms with a significant impact on the number of nodes required for query answering, increasing the total cost of query evaluation. In this paper we present a novel semantic partitioning approach, exploiting both the structure and the semantics of an RDF Dataset, for producing vertical partitions that significantly reduce the number of nodes that should be visited for query answering. To construct these partitions, first we select the most important nodes in a dataset as centroids, using the notion of relevance. Then we use the notion of dependence to assign each remaining node to the appropriate centroid. We evaluate our approach using three real world datasets and demonstrate the nice properties that the constructed partitions possess showing that they significantly reduce the total number of nodes required for query answering while introducing minimal storage overhead.

Ontology Understanding Without Tears: The Summarization Approach

Georgia Troullinou, Haridimos Kondylakis, Evangelia Daskalaki, Dimitris Plexousakis
Journal Paper Semantic Web Journal (in press), 2017
(Impact Factor 2016: 1.786, SCImago - ranked 18th in Computer Science world-wide in 2013, SNIP (2016):1.396, SJR (2016):1.4)

Abstract

Given the explosive growth in both data size and schema complexity, data sources are becoming increasingly difficult to use and comprehend. Summarization aspires to produce an abridged version of the original data source highlighting its most representative concepts. In this paper, we present an advanced version of the RDF Digest, a novel platform that automatically produces and visualizes high quality summaries of RDF/S Knowledge Bases (KBs). A summary is a valid RDFS graph that includes the most representative concepts of the schema, adapted to the corresponding instances. To construct this graph we designed and implemented two algorithms that exploit both the structure of the corresponding graph and the semantics of the KB. Initially we identify the most important nodes using the notion of relevance. Then we explore how to select the edges connecting these nodes by maximizing either locally or globally the importance of the selected edges. The extensive evalua-tion performed compares our system with two other systems and shows the benefits of our approach and the considerable advantages gained.

Fairness in Group Recommendations in the Health Domain

Maria Stratigi, Haridimos Kondylakis, Kostas Stefanidis
Workshop Paper ICDE 2017,pp. 1481-1488

Abstract

During the last decade, the number of users who look for health-related information has impressively increased. On the other hand, health professionals have less and less time to recommend useful sources of such information online to their patients. To this direction, we target at streamlining the process of providing useful online information to patients by their caregivers and improving as such the opportunities that patients have to inform themselves online about diseases and possible treatments. Using our system, relevant and high quality information is delivered to patients based on their profile, as represented in their personal healthcare record data, facilitating an easy interaction by minimizing the necessary manual effort. Specifically, in this paper, we propose a model for group recommendations following the collaborative filtering approach. Since in collaborative filtering is crucial to identify the correct set of similar users for a user in question, in addition to the traditional ratings, we pay particular attention on how to exploit healthrelated information for computing similarities between users. Our special focus is on providing valuable suggestions to a caregiver who is responsible for a group of users. We interpret valuable suggestions as suggestions that are both highly related and fair to the users of the group. In this line, we propose an algorithm for identifying the top-z most valuable recommendations, and present its implementation in MapReduce.

On Recommending Evolution Measures: A Human-aware Approach

Kostas Stefanidis, Haridimos Kondylakis, Georgia Troullinou
Workshop Paper ICDE 2017, pp. 1579-1581

Abstract

As knowledge bases are constantly evolving, there is a clear need for monitoring and analyzing the changes that occur on them. Traditional approaches for studying the evolution of data focus on providing humans with deltas that include loads of information. In this work, we envision a processing model that recommends evolution measures taking into account particular socio-technical challenges, such as relatedness, transparency, diversity, fairness and anonymity. We target at supporting humans with complementary measures that offer high-level overviews of the changes in order to help them understand how data of interest evolve.

News Articles Platform: Semantic Tools and Services for Aggregating and Exploring News Articles

Koralia Papadokostaki , Stavros Charitakis , George Vavoulas , Stella Panou , Paraskevi Piperaki , Aris Papakonstantinou , Savvas Lemonakis , Anna Maridaki , Konstantinos Iatrou , Piotr Arent , Dawid Wiśniewski , Nikos Papadakis , Haridimos Kondylakis

Abstract

As the internet grows daily and millions of news articles are produced everyday worldwide by various sources, the need to store, index, search and explore news articles is more than prominent. In this paper we present an integrated platform dedicated to news articles, providing storage, indexing and searching functionalities, implemented using semantic web technologies and services. Besides using the developed APIs, the users through intuitive graphical user interfaces can save articles from RSS channels, import them through wrappers from external news sites or manually insert them using forms. A search engine on top allows the users to explore all registered information. All components have been implemented using semantic web technologies, using a novel ontology to model the news domain, a triple store for the management of data and web services exchanging JSON-DL messages. The registered articles become automatically part of the Linked Open Data cloud, enabling better data and knowledge sharing. Our preliminary evaluation shows the high-quality of the developed platform and the benefits of our approach.

APANTISIS: A Greek Question-Answering System for Database Exploration

Emmanouil Marakakis , Haridimos Kondylakis , Aris Papakonstantinou

Abstract

As users struggle to navigate on the vast amount of information now available, methods and tools for enabling the quick exploration of the databases content is of paramount importance. To this direction we present Apantisis, a novel question answering system implemented for the Greek language ready to be attached to any external database/knowledge-base. An ingestion module enables the semi/automatic construction of the data dictionary that is used for question answering whereas the Greek Language Dictionary, the Syntactic and the Semantic Rules are also stored in an internal, extensible knowledge base. After the ingestion phase, the system is accepting questions in natural language, and automatically constructs the corresponding relational algebra query to be further evaluated by the external database. The results are then formulated as free text and returned to the user. We highlight the unique features of our system with respect to the Greek language and we present its implementation and a preliminary evaluation. Finally, we argue that our solution is flexible and modular and can be used for improving the usability of traditional database systems.

Social-based Collaborative Filtering

Kostas Stefanidis, Eirini Ntoutsi,Haridimos Kondylakis, Yannis Velegrakis
Book Chapter Encyclopedia of Social Network Analysis and Mining , 2017, doi:10.1007/978-1-4614-7163-9_110171-1)

2016

The iManageCancer personal health record

Haridimos Kondylakis
Invited Talk eHealthForum Conference , October 2016, Athens, Greece

Big Data in European Health Projects

Haridimos Kondylakis
Conference Keynote JST Conference , March 2016, Japan

The INTEGRATE Project: Delivering solutions for efficient multi-centric clinical research and trials

Haridimos Kondylakis , Brecht Claerhout, Mehta Keyur, Lefteris Koumakis, Kostas Marias, David Perez-Rey, Kristof de Schepper, Manolis Tsiknakis, Anca Bucur
Journal Paper Journal of Biomedical Informatics, 62, pp.32-47 2016
(5-Year Impact Factor: 3.4, SNIP:2.213, SJR (2015):1.283)

Abstract

The objective of the INTEGRATE project (http://www.fp7-integrate.eu/) that has recently concluded successfully was the development of innovative biomedical applications focused on streamlining the execution of clinical research, on enabling multidisciplinary collaboration, on management and large-scale sharing of multi-level heterogeneous datasets, and on the development of new methodologies and of predictive multi-scale models in cancer. In this paper, we present the way the INTEGRATE consortium has approached important challenges such as the integration of multi-scale biomedical data in the context of post-genomic clinical trials, the development of predictive models and the implementation of tools to facilitate the efficient execution of postgenomic multi-centric clinical trials in breast cancer. Furthermore, we provide a number of key “lessons learned” during the process and give directions for further future research and development.

Usefulness of a tailored eHealth service for informal caregivers and professionals in the dementia treatment and care setting: the eHealthMonitor Dementia Portal

Sandra Schaller, Velislava Marinova-Schmidt, Manuela Setzer, Haridimos Kondylakis, Lena Griebel, Martin Sedlmayr, Elmar Graessel, Juan Manuel Maler, Stefan Kirn, Peter Kolominsky-Rabas
Journal Paper JMIR Research Protocols, 2016;5:2:e47 DOI: 10.2196/resprot.4354
(JMIR Impact Factor: 4.7, SJR(2015):1.65)

Abstract

Background: The European eHealthMonitor project (eHM) developed a user-sensitive and interactive web portal for the dementia care setting: The eHM Dementia Portal (eHM-DP). It aims to provide targeted support for informal caregivers of persons with dementia and professionals.
Objective: The objective of this study was to assess the usefulness and impact of the eHM-DP service in the dementia care setting from two user perspectives: informal caregivers and professionals.
Methods: The evaluation study was conducted from June to September 2014 and followed a before-after, user-participatory, mixed-method design with questionnaires and interviews. The used intervention was the eHM-DP: an interactive web portal for informal caregivers and professionals that was tested for a 12-week period. Primary outcomes for caregivers included: empowerment, quality of life, caregiver burden, decision aid as well as perceived usefulness and benefits of the eHM-DP. Primary outcomes for professionals involved decision aid as well as perceived usefulness and benefits of the eHM-DP.
Results: A total number of 25 informal caregivers and 6 professionals used the eHM-DP over the 12 weeks study period. Both professionals and informal caregivers indicated perceived benefits and support by the eHM-DP. In total 65% (n=16) of informal caregivers would use the eHM-DP if they had access to it. Major perceived benefits (65%; n=16 of informal caregivers) were individualized information acquisition, improved interaction between informal caregivers and professionals, access to support from home and empowerment in health related decisions (PrepDM Score: 67.9). Professionals highlighted the improved treatment and care over the disease course (83%, n=5) and improved health care access for people living in rural areas (67%; n=4). However, there was no improvement in caregiver burden (BSFC) and quality of life (EQ-5D-5L) over the study period.
Conclusions: Our study provides insight into the different user perspectives on an eHealth support service in the dementia treatment and care setting. The presented results are of importance for future developments and the uptake of eHealth solutions in the dementia domain and reinforce the importance of early user involvement. Turning to the primary target of the eHM-DP service, the presented findings suggest that the eHM-DP service proved to be a valuable post-diagnostic support service, in particular for the homebased care setting. Further research on a larger scale is needed to enhance the implementation in existing health care infrastructures.

A randomized controlled trial to test the efficacy of a web-based interactive empowerment tool in breast cancer patients

Alessandra Gorini, Ketti Mazzocco, Haridimos Kondylakis, Gordon McVie, Gabriella Pravettoni
Journal Paper eCancer Medical Science Journal, 2016; 10: 659
(SJR(2015):0.42)

Abstract

Background:
The uniqueness of a patient as determined by the integration of clinical data and psychological aspects should be the aspired aim of a personalized medicine approach. Nevertheless, given the time constraints usually imposed by the clinical setting, it is not easy for the physicians to collect information about the patient’s unique mental dimensions and needs related to their illness. Such information may be useful to tailor patient-physician communication improving the patient’s understanding of provided information, her involvement in the treatment process and, in general, her empowerment during and after the therapeutic journey. The primary objective of this study is to evaluate the effect of an interactive empowerment tool (IEm) on enhancing the breast cancer patient-physician experience, in terms of empowerment increasing, by providing physicians a personalized patient’s profile, accompanied by specific recommendations to suggest them how to interact with each single patient on the basis of her personal profile. Methods:
The study will be implemented as a 2-arm randomized controlled trial with 100 adult breast cancer patients who fill in the ALGA-BC questionnaire, a computerized validated instrument to evaluate the patient’s physical and psychological characteristics following a breast cancer diagnosis. The IEm tool will collect and analyze the patient’s answers in real time and send them, together with specific recommendations, to the physician’s computer immediately before his/her first encounter with the patient. Patients will be randomized to either the intervention group using the IEm tool or to a control group who will only fill the questionnaire without taking the advantages of the tool (physicians will not receive the patient’s profile). Our primary outcome, patient empowerment, will be assessed by t-test for independent groups. Effect sizes will be calculated as mean group differences with standard deviations. Discussion:
The proposed approach is supposed to improve the patient-physician communication leading to an increased patient’s participation in the therapeutic process with a consequent improvement in patient empowerment and personalization of care.

X3ML Mapping Framework for Information Integration in Cultural Heritage and beyond

Yannis Marketakis, Nikos Minadakis, Haridimos Kondylakis, Konstantina Konsolaki, Georgios Samaritakis, Maria Theodoridou, Giorgos Flouris, Martin Doerr
Journal Paper International Journal on Digital Libraries doi:10.1007/s00799-016-0179-1
(SNIP: 1.581, SJR(2015):0.286)

Abstract

The aggregation of heterogeneous data from different institutions in cultural heritage and e-science has the potential to create rich data resources useful for a range of different purposes, from research to education and public interests. In this paper, we present the X3ML framework, a framework for information integration that handles effectively and efficiently the steps involved in schema mapping, Unique Resource Identifier (URI) definition and generation, data transformation, provision and aggregation. The framework is based on the X3ML mapping definition language for describing both schema mappings and URI generation policies and has a lot of advantages when compared to other relevant frameworks. We describe the architecture of the framework as well as details on the various available components. Usability aspects are discussed and performance metrics are demonstrated. The high impact of our work is verified via the increasing number of international projects that adopt and use this framework.

BlogSearch: Semantic Services for Aggregating and Searching Blog Articles

Nikos Papadakis,Haridimos Kondylakis,Anastasios Kalaentzis, Ioannis Komporakis, Ioannis A. Deligiannis, Malvina Steiakaki, George Alexiou, Xanthoula Atsalaki
Journal Paper International Journal of Semantic Computing (IJSC) (Int. J. Semantic Computing 10, 399 (2016). DOI: http://dx.doi.org/10.1142/S1793351X16500033
(Impact Factor:0.27)

Abstract

The advent of new web technologies and the explosion of available information online led to an information overload. During this information revolution blogs have become considerably mainstream as a media of providing news. Although there are several arguments about their validity and credibility the large amount of blogs currently available require the usage of advanced techniques for the collection, analysis, mining and efficient querying of the available information. To this direction we present BlogSearch a novel platform allowing aggregating, indexing and searching blog articles. The information is modelled using a novel RDF/S Ontology named Blogs Ontology and published as Linked Open Data. In addition, two set of APIs are provided for inserting, updating and searching information whereas the platform provides also graphical user interfaces (GUIs) for searching and inserting information. To the best of our knowledge our platform is the only one currently available publishing blog articles as Linked Open Data and simultaneously providing API’s and GUIs for aggregating, inserting and searching articles.

Addressing drug-drug and drug-food interactions through personalized empowerment services for healthcare

Marios Spanakis, Emmanouil G. Spanakis, Haridimos Kondylakis, Stelios Sfakianakis, Irini Genitsaridi, Vangelis Sakkalis, Manolis Tsiknakis, Kostas Marias

Abstract

Personalized healthcare systems aim at providing sufficient treatment information for patients. Especially for patients that receive multi-drug treatments a key issue is the minimization of the risk for presenting drug-drug interactions (DDIs). Apart from software platforms designed for assisting physicians for optimum prescription practices, DDIs may be the result of self-medication of conventional drugs, alternative medicines, food habits, alcohol or smoking. To this respect, it is crucial for personalized health systems to provide necessary information for users for drug-drug interactions or similar information regarding risks for modulation of the ensuing treatment. In this work we describe a DDI service including drug–food, drug–herb and lifestyle factors developed in the context of a personalized patient empowerment platform. The solution enables guidance to patients for their medication on how to reduce the risk of unwanted drug interactions and side effects in a seamless and transparent way. We present and analyze the implemented services and describe examples on using an alerting service to support potential DDIs in two different chronic diseases, congestive heart failure and osteoarthritis.

Semantic Partitioning for RDF Datasets

Georgia Troullinou, Haridimos Kondylakis, Dimitris Plexousakis
Conference Paper The 11th International Workshop on Information Search, Integration, and Personalization (ISIP), 2016

Abstract

Today we are witnessing an explosion in the size and the amount of the available RDF datasets. As such, conventional single node RDF management systems give their position to clustered ones. However most of the currently available clustered RDF database systems partition data using hash functions and/or vertical and hori-zontal partitions with a significant impact on the number of nodes required for query answering, increasing the total cost of query evaluation. Although RDF datasets can be interpreted as simple graphs, besides their struc-tural information they have also attached rich semantics which could be exploited to improve the partition algorithms and dictate a different approach. As such, in this paper, we focus on effectively partitioning RDF datasets across multiple nodes exploiting all available information, both structural and semantic. To this direction we present RDFCluster, a novel platform that accepts as input an RDF dataset and the number of the available computational nodes and gener-ates the corresponding partitions, exploiting both the semantics of the dataset and the structure of the corresponding graph. We view an RDF dataset as two distinct and interconnected graphs, i.e. the schema and the instance graph. Since query formulation is usually based on the schema, we generate vertical partitions based on schema clusters. To do so we select first the most important schema nodes as centroids and assign the rest of the schema nodes to their closest centroid. Then individuals are instantiated under the corresponding schema nodes producing the final partitions of the dataset. To identify the most important nodes we reuse the notion of relevance based on the well-established measures of the relative cardinality and the in/out degree centrality of a node. Then to assign the rest of the schema nodes to a centroid we define the notion of dependence assigning each schema node to the cluster with the maximum dependence between that node and the corresponding centroid. Preliminary evaluation with three datasets, namely the CRMdig, the LUBM and the Etmo, accompanied with their corresponding queries show the nice properties of the produced partitions with respect to query answering, i.e. the high quality of the constructed partitions and the low storage overhead it introduces. Our partitioning scheme can be adopted for efficient storage of RDF data reduc-ing communication costs and enabling efficient query answering. Our approach is unique in the way that constructs data partitions, based on schema clusters, com-bining structural information with rich semantics.

Psycho-emotional tools for better treatment adherence and therapeutic outcomes for cancer patients

Eleni Kazantzaki, Haridimos Kondylakis, Lefteris Koumakis, Kostas Marias, Manolis Tsiknakis, Alessandra Gorini, Ketti Mazzocco, Chiara Renzi, Chiara Fioretti, Gabriella Pravettoni

Abstract

Personalized medicine should target not only the genetic and clinical aspects of the individual patients but also the different cognitive, psychological, family and social factors involved in various clinical choices. To this direction, in this paper, we present instruments to assess the psycho-emotional status of cancer patients and to evaluate the resilience in their family constructing in such a way an augmented patient profile. Using this profile, a decision aid can increase patient’s participation in the consultation process with their physicians and improve their satisfaction and involvement in the decision-making process. The decision aid provides standardized sets of questions related to patient’s condition and choices and the patient can choose or create his own lost to further discuss with his doctor. Our preliminary evaluation of shows promising results and the potential benefits of the tools.

Designing smart analytical data services for a personal health framework

Lefteris Koumakis, Haridimos Kondylakis, Maria Chatzimina, Galatia Iatraki, Panagiotis Argyropaidas, Eleni Kazantzaki, Manolis Tsiknakis, Stephan Kiefer, Kostas Marias

Abstract

Information of the healthcare domain and especially the personal health records is characterized by its heterogeneity. Clinical, lifestyle, environmental data and personal preferences are stored and managed within such platforms. Data of such a diverse information space is difficult to be delivered, especially to non-IT users like physicians or managers. Another obstacle of the health data management and analysis is the volume, which increases more and more making the need for efficient visualization methods of data and data analysis results mandatory. The objective of this work is to present architectural design recommendations of an environment for the seamless integration and intelligent processing of distributed and heterogeneous clinical information. Such a system will ease health-care professionals to orient themselves in the disperse information space and enhance their decision-making capabilities.

Development of psycho-emotional monitoring tools within an eHealth platform to improve patient empowerment and self-management abilities

Chiara Renzi, Chiara Fioretti, Ketti Mazzocco, Andrea Manfrinati, Haridimos Kondylakis, Eleni Kazantzaki, Lefteris Koumakis, Manolis Tsiknakis, Kostas Marias, Gabriella Pravettoni
Journal PaperPsycho-Oncology 2016:25(3):195
(Impact Factor: 3.256; SJR(2015):1.904, ISI Journal Citation Reports © Ranking: 2015: 2/39 (Social Sciences Biomedical))

Abstract

Background. As cancer survival increases, a new partnership model that empowers patients and caregivers and promotes self-management of the disease is needed. The H2020 iManageCancer project aims to respond to the aforementioned needs with a cancer specific personalized platform. This abstract describes the development of two tools to: 1) monitor the psycho-emotional status of the patients, and 2) evaluate family resilience in cancer, as part of the activities for the project. Methods: To identify the requirements for the tools, a review on patient empowerment, psycho-cognitive constructs relevant in cancer treatments, and family resilience in (cancer) disease was performed, together with an analysis based on patients interviews. Additionally, an online survey was promoted to the cancer community. On this basis, two use case scenarios were created to develop the tools. Results: A complex structure emerged as relevant in the assessment of the psycho-emotional status of cancer patients: psychosocial aspects, cognitive aspects, perceived health state, decisional preferences and role, perceived control of the disease, emotional profile, and patient engagement. For the assessment of family resilience, communication and problem solving, social and economic resources, connectedness and spirituality, and reappraisal emerged as important aspects. Conclusions: To the best of our knowledge these tools within the broader iManageCancer platform represent the the first approach combining psycho-emotional and resilience monitoring of the individual patient and his family, to enable patient empowerment end strengthen patient-doctor communication.

Understanding Ontology Evolution Beyond Deltas

Georgia Troullinou, Giannis Roussakis, Haridimos Kondylakis, Kostas Stefanidis, Giorgos Flouris
Workshop Paper International Workshop on Preservation of Evolving Big Data, EDBT/ICDT Workshops, 2016

Abstract

The dynamic nature of the data on the Web gives rise to a multitude of problems related to the description and analysis of the evolution of such data. These problems become more and more important to a large number of users and domains when, for example, changes are constant and interrelated. In this paper, we focus on the problem of identifying, analyzing and understanding ontology evolution. The dynamic nature of the data on the Web gives rise to a multitude of problems related to the description and analysis of the evolution of such data. Traditional approaches for identifying and analyzing changes are descriptive, focusing on the provision of a ``delta'' that describes the changes and often overwhelming the user with loads of information. Here, we take an alternative approach which aims at giving a high-level overview of the change process and at identifying the most important changes in the ontology. For doing so, we consider different metrics of ``change intensity'', taking into account the changes that affected each class and its neighborhood, as well as ontological information related to the importance and connectivity of each class in the different versions. We argue that this approach will allow a better understanding of the intent (rather than the actions) of the editor, and a better focusing of the curator analyzing the changes; traditional delta-based approaches can subsequently be used for a more fine-grained analysis.

Efficient Implementation of Joins over Cassandra DBs

Haridimos Kondylakis, Antonis Fountouris, Dimitris Plexousakis
Conference Paper EDBT/ICDT, 2016

Abstract

Over the last few years we witness an explosion on the development of data management solutions for big data applications. To this direction NoSQL databases provide new opportunities by enabling elastic scaling, fault tolerance, high availability and schema flexibility. Despite these benefits, their limitations in the flexibility of query mechanisms impose a real barrier for any application that has not predetermined access use-cases. One of the main reasons for this bottleneck is that NoSQL databases do not support joins. In this poster we present a solution that efficiently supports joins over such databases. More specifically, we present a query optimization and execution module placed on top of Cassandra clusters that is able to efficiently combine information stored in different columnfamilies. Our preliminary evaluation demonstrates the feasibility of our solution and the advantages gained when compared to a recent commercial solution by DataStax. To the best of our knowledge our approach is the first and the only available open source solution allowing joins over NoSQL Cassandra databases.

Mode Analysis During Program Development

Emmanouil Marakakis, Haridimos Kondylakis
Journal Paper International Journal on Artificial Intelligence Tools (IJAIT),25(2), 2016, DOI:10.1142/S0218213016500019
(5-Year Impact Factor: 0.37; SJR(2015):0.32)

Abstract

Mode analysis in logic programs has been used mainly for code optimization. The mode analysis in this paper supports the program construction process. It is applied to partially complete logic programs. The program construction process is based on schema refinements and refinements by data type operations. Refinements by data type operations are at the end of the refinement process. This mode analysis supports the proper application of refinements by data type operations. In addition, it checks that the declared modes as defined by the Data Type (DT) operations are consistent with the inferred runtime modes. We have implemented an algorithm for mode analysis based on minimal function graphs. An overview of our logic program development method and the denotational semantics of the analysis framework are presented in this paper.

Big Data in Support of the Digital Cancer Patient

Haridimos Kondylakis, Lefteris Koumakis, Manolis Tsiknakis, Kostas Marias and Stephan Kiefer
Journal PaperERCIM News, pp.27-28, 2016

Abstract

An overview is presented on the data management architecture of iManageCancer.

2015

X3ML Framework: An effective suite for supporting data mappings

Nikos Minadakis, Yannis Marketakis, Haridimos Kondylakis, Giorgos Flouris, Maria Theodoridou, Martin Doerr, and Gerald de Jong
Workshop PaperExtending, Mapping and Focusing the CRM, 19th International Conference on Theory and Practice of Digital Libraries (TPDL2015) September 17, 2015, Poznań, Poland, 2015

Abstract

The aggregation of heterogeneous data from different institutions in cultural heritage and e-science has the potential to create rich data resources useful for a range of different purposes, from research to education and public interests. In this paper, we present the architecture and functionality of X3ML data exchange framework, that handles effectively and efficiently the schema mapping, URI definition and generation, and data transformation steps of the provision and aggregation process. The X3ML framework is based on the X3ML mapping definition language that offers the building blocks for describing both schema mappings and URI generation policies, and the X3ML engine, that handles the URI generation and the data transformation. The X3ML framework supports the cognitive process of mapping and it has a lot of advantages compared to other existing tools including that the schema mappings are expressed in a declarative way, and are both human and machine readable allowing domain experts to understand them, the schema matching and the URI generation policies comprise different distinct steps in the exchange workflow, and follow different life cycles. Furthermore X3ML is symmetric and potentially invertible allowing bidirectional interaction between providers and aggregator and thus supporting not only a rich aggregators’ repository but also corrections and improvements in the providers’ data bases.

Flexible Access to Patient Data through e-Consent

Haridimos Kondylakis,Giorgos Flouris, Irini Fundulaki, Vassilis Papakonstantinou, Manolis Tsiknakis
Conference Paper5th EAI International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies(MobiHealth), 2015, London, Great Britain

Abstract

The advances in healthcare and information technology are shifting more and more the ownership of data from medical institutions and doctors to individual citizens. However, since the medical information of an individual is confidential, the only basis for sharing it, is through prior informed consent which will regulate access to his private healthcare data. This paper highlights challenges investigated in three EU research projects and presents a solution utilizing novel access control mechanisms to ensure the selective exposure of the patients' sensitive information thereby empowering them. Our solution can efficiently support the entire life- cycle of consent such as withdrawal, activation, deletion or update. Moreover it responds to complex and different scenarios in which the patient can define complicated and dynamic access control policies at different granularity levels. In this paper we propose a Personal Health Record (PHR) system, accessible through desktop and mobile devices, that explores the efficient access regulation to information according to the consent forms provided by the patients.

Semantically-enabled Personal Medical Information Recommender

Haridimos Kondylakis,Lefteris Koumakis, Maria Psaraki, Georgia Troullinou, Maria Chatzimina, Eleni Kazantzaki, Konstantinos Marias, Manolis Tsiknakis
Conference Paper International Semantic Web Conference (ISWC), 2015, Bethlehem, Pennsylvania

Abstract

Word wide web has become the first choice of patients to inform them-selves about their disease, side effects and possible treatments. While patient’s knowledge from internet is widely regarded as having a positive influence on the treatment, a lot of criticism exists for the quality and the diversity of the available information. In this paper we demonstrate the Personal Medical Information Rec-ommender (PMIR), a semantically-enabled, intelligent platform that empowers patients to search in a high quality set of web documents for relevant medical knowledge. In addition, the platform automatically provides intelligent and per-sonalized recommendations, according to the individual preferences and medical conditions. To demonstrate the platform example patients will be used to show the functionality of the system. Then we will allow conference participants to directly interact with the system to test its capabilities.

RDF Digest: Ontology Exploration Using Summaries

Georgia Troullinou, Haridimos Kondylakis, Evangelia Daskalaki, Dimitris Plexousakis
Conference Paper International Semantic Web Conference (ISWC), 2015, Bethlehem, Pennsylvania

Abstract

Ontology summarization aspires to produce an abridged version of the original ontology that highlights its most representative concepts. In this paper, we present RDF Digest, a novel platform that automatically produces and visu-alizes summaries of RDF/S Knowledge Bases (KBs). A summary is a valid RDFS document/graph that includes the most representative concepts of the schema, adapted to the corresponding instances. To construct this graph our al-gorithm exploits the semantics and the structure of the schema and the distribu-tion of the corresponding data/instances. A novel feature of our platform is that it allows summary exploration through extensible summaries. The aim of this demonstration is to dive in the exploration of the sources using summaries and to enhance the understanding of the various algorithms used.

RDF Digest: Αποδοτική Περίληψη RDF/S βάσεων γνώσης

Georgia Troullinou, Haridimos Kondylakis, Evangelia Daskalaki, Dimitris Plexousakis
Conference PaperHellenic Data Management Symposium (HDMS), 2015, Athens, Greece

Abstract

Η ραγδαία ανάπτυξη του διαδικτύου και η εκτεταμένη χρήση των τεχνολογιών του Σημασιολογικού Ιστού έφεραν στο προσκήνιο την ανάγκη για γρήγορη κατανόηση, ευέλικτη εξερεύνηση και επιλογή πολύπλοκων διαδικτυακών εγγράφων και σχημάτων. Προς αυτή την κατεύθυνση, η περιληπτική παρουσίαση των οντολογιών φιλοδοξεί να παράγει μια συντετμημένη εκδοχή της αρχικής οντολογίας, η οποία τονίζει τις πιο αντιπροσωπευτικές έννοιες της. Σε αυτή τη δουλειά, παρουσιάζουμε το RDF Digest, μια πρωτότυπη πλατφόρμα, που παράγει αυτόματα περιλήψεις μιας RDF/S βάσης γνώσης. Μια περίληψη είναι ένα έγκυρο RDFS έγγραφο/γράφος που περιλαμβάνει τις πιο αντιπροσωπευτικές έννοιες του σχήματος προσαρμοσμένη στα αντίστοιχα στιγμιότυπα (στα αντίστοιχα δεδομένα). Για την κατασκευή αυτού του γράφου, ο αλγόριθμος μας εκμεταλλεύεται τη σημασιολογία και τη δομή του σχήματος, καθώς και την κατανομή των αντίστοιχων δεδομένων/στιγμιότυπων. Η αξιολόγηση που πραγματοποιήθηκε καταδεικνύει τα οφέλη της προσέγγισής μας και τα σημαντικά πλεονεκτήματα που κερδίζονται.

Digital Patient: Personalized and Translational Data Management through the MyHealthAvatar EU Project

Haridimos Kondylakis, Manolis Spanakis, Stelios Sfakianakis, Vangelis Sakkalis, Manolis Tsiknakis, Kostas Marias, Zhao Xia, Hong Qing Yu, Feng Dong
Conference PaperInternational Conference of the IEEE Engineering in Medicine and Biology Society of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Milan, Italy

Abstract

The advancements in healthcare practice have brought to the fore the need for flexible access to health-related information and created an ever-growing demand for the design and the development of data management infrastructures for translational and personalized medicine. In this paper, we present the data management solution implemented for the MyHealthAvatar EU research project, a project that attempts to create a digital representation of a patient’s health status. The platform is capable of aggregating several knowledge sources relevant for the provision of individualized personal services. To this end, state of the art technologies are exploited, such as ontologies to model all available information, semantic integration to enable data and query translation and a variety of linking services to allow connecting to external sources. All original information is stored in a NoSQL database for reasons of efficiency and fault tolerance. Then it is semantically uplifted through a semantic warehouse which enables efficient access to it. All different technologies are combined to create a novel web-based platform allowing seamless user interaction through APIs that support personalized, granular and secure access to the relevant information.

Patient Empowerment through Personal Medical Recommendations

Haridimos Kondylakis, Lefteris Koumakis, Eleni Kazantzaki, Maria Chatzimina, Maria Psaraki, Kostas Marias, Manolis Tsiknakis
Conference Paper Health and Biomedical Informatics (MEDINFO), 216, 1117, 2015, Sao Paolo, Brazil

Abstract

Patients today have ample opportunities to inform themselves in the internet about their disease and possible treatments. While this type of patient empowerment is widely regarded as having a positive influence on the treatment, there exists the problem that the quality of information that can be found on online is very diverse. This paper presents a platform which empowers patients in two ways: First it allows searching in a high quality document repository, and secondly it automatically provides intelligent and personalized recommendations, according to the individual preferences and medical conditions. To the best of our knowledge our platform is the only one which combines a search engine with automatic recommendations exploiting individual patient profiles and preferences.

Information Hunting: The Many Faces of Recommendations for Data Exploration

Kostas Stefanidis, Eirini Ntoutsi, Haridimos Kondylakis
Online ArticleSIGMOD-Blog , March 2015

RDF Digest: Efficient Summarization of RDF/S KBs

Georgia Troullinou, Haridimos Kondylakis, Evangelia Daskalaki, Dimitris Plexousakis
Conference Paper Extended Semantic Web Conference (ESWC), 2015, pp 119-134, Portoroz, Slovenia (top 3 rated paper!)

Abstract

The exponential growth of the web and the extended use of semantic web technologies has brought to the fore the need for quick understanding, flexible exploration and selection of complex web documents and schemas. To this direction, ontology summarization aspires to produce an abridged version of the original ontology that highlights its most representative concepts. In this paper, we present RDF Digest, a novel platform that automatically produces summaries of RDF/S Knowledge Bases (KBs). A summary is a valid RDFS document/graph that includes the most representative concepts of the schema adapted to the corresponding instances. To construct this graph, our algorithm exploits the semantics and the structure of the schema and the distribution of the corresponding data/instances. The performed preliminary evaluation demonstrates the benefits of our approach and the considerable advantages gained.

Tools and repositories for data storage or distributed data access

Haridimos Kondylakis

Ontology Evolution: A Process Centric Survey

Fouad Zablith, Grigoris Antoniou, Mathieu d'Aquin, Giorgos Flouris, Haridimos Kondylakis,Enrico Motta, Dimitris Plexousakis, Marta Sabou
Journal PaperKnowledge Engineering Review (KER), 30, 1, pp. 45-75 2015, Elsevier

Abstract

Ontology evolution aims at maintaining an ontology up to date with respect to changes in the domain that it models or novel requirements of information systems that it enables. The recent industrial adoption of SemanticWeb techniques, which rely on ontologies, has led to the increased importance of the ontology evolution research. Typical approaches to ontology evolution are designed as multiple-stage processes combining techniques from a variety of elds (e.g., natural language processing and reasoning). However, the few existing surveys on this topic lack an indepth analysis of the various stages of the ontology evolution process. This survey extends the literature by adopting a process-centric view of ontology evolution. Accordingly, we rst provide an overall process model synthesized from an overview of the existing models in the literature. Then we survey the major approaches to each of the steps in this process and conclude on future challenges for techniques aiming to solve that particular stage.

Evaluation of Personal Health Record Systems through the Lenses of EC Research Projects

Irini Genitsaridi, Haridimos Kondylakis, Lefteris Koumakis, Kostas Marias, Manolis Tsiknakis
Journal PaperComputers in Biology and Medicine,59, pp. 175-185, 2015

Abstract

Personal health record (PHR) systems are a rapidly expanding area in the field of health information technology which motivates an ongoing research towards their evaluation in several different aspects. In this direction, we present a systematic review of the currently available PHR systems. Initially, we define a clear and concise set of requirements for efficient PHR systems which is based on real-world implementation experiences of several European research projects and also on established and widely used formal standards. Subsequently, these requirements are used to perform a systematic evaluation of existing PHR system implementations. Our evaluation study provides a thorough requirement analysis and an insight on the current status of personal health record systems. The results of the present work can therefore be used as a basis for future evaluation studies which should be conducted periodically as technology evolves and requirements are revised.

2014

Agents, Models and Semantic Integration in support of Personal eHealth Knowledge Spaces

Haridimos Kondylakis, Dimitris Plexousakis, Vedran Hrgovcic, Robert Woitsch, Marc Premm, Michael Schuele
Conference Paper Web Information System Engineering (WISE), 1, pp. 496-511, 2014, Thessaloniki, Greece

Personal eHealth Knowledge Spaces though Models, Agents and Semantics

Haridimos Kondylakis, Dimitris Plexousakis, Vedran Hrgovcic, Robert Woitsch, Marc Premm, Michael Schuele
Conference PaperInternational Conference on Conceptual Modeling (ER) , pp. 293-297, 2014, Atlanta, USA

Securing Access to Sensitive RDF Data

Vassilis Papakonstantinou, Giorgos Flouris, Irini Fundulaki, Haridimos Kondylakis
Conference PaperExtended Semantic Web Conference (ESWC), Vol 8798, pp.455-460, 2014

NaviSoc: A Socially Enhanced Real-time Navigator

Nikolaos Louloudakis, Vasileios Theodosiadis, Haridimos Kondylakis, Kostas Stefanidis

PMIR: A Personal Medical Information Recommender

Haridimos Kondylakis, Lefteris Koumakis, Stefan Rüping, Eleni Kazantzaki, Kostas Marias, Manolis Tsiknakis
Conference PaperMedical Informatics Europe (MIE), 205, pp. 1193, 2014

Development of Interactive Empowerment services in support of personalized medicine

Haridimos Kondylakis, Eleni Kazantzaki, Lefteris Koumakis, Irini Genitsaridi, Kostas Marias, Alessandra Gorini, Ketti Mazzocco, Gabriella Pravettoni, Danny Burke, Gordon McVie and Manolis Tsiknakis
Journal PapereCancer Medical Science Journal, 8, 400, 2014 DOI: 10.3332/ecancer.2014.398.

A Knowledge-Based Interactive Verifier for Logic Programs

Emmanouil Marakakis, Haridimos Kondylakis, Nikos Papadakis
Journal PaperInnovation in Knowledge-Based and Intelligent Engineering Systems (KES),18(3),pp. 143-156, 2014, IOS Press

Exploring RDF/S Evolution using Provenance Queries

Haridimos Kondylakis,Dimitris Plexousakis
Workshop PaperWorkshop on Exploratory Search in Databases and the Web, EDBT/ICDT Workshops, pp. 176-181, 2014

X3ML An interface for sustainable management of data management mapping process

Haridimos Kondylakis, Martin Doerr, Gerald de Jong, Dominic Oldman
Invited TalkBM meet-up "Semantics and Cultural Heritage", London, 2014 PDF

2013

Ontology Evolution without Tears

Haridimos Kondylakis,Dimitris Plexousakis
Journal PaperJournal of Web Semantics (2013), 19, pp. 42-58, Elsevier, DOI (5-year impact factor 3.049).
Citations: 10

Designing a digital patient avatar in the context of the MyHealthAvatar project initiative

Evaggelia Maniadi, Haridimos Kondylakis, Emmanouil G. Spanakis, Manolis Tsiknakis, Kostas Marias and Feng Dong

Towards Intelligent Personal Health Record Systems: Review, Criteria and Extensions

Irini Genitsaridi, Haridimos Kondylakis, Lefteris Koumakis, Kostas Marias, Manolis Tsiknakis
Journal PaperProcedia Computer Science, Volume 21, 2013, pp. 327-334, ISSN 1877-0509, http://dx.doi.org/10.1016/j.procs.2013.09.043

Smart recommendation services in support of patient empowerment and personalized medicine

Haridimos Kondylakis, Lefteris Koumakis, Manolis Tsiknakis, Kostas Marias, Eirini Genitsaridi, Gabriella Pravettoni, Alessandra Gorini, Ketti Mazzocco
Book ChapterMultimedia Services in Intelligent Environments – Recommendation Services , vol. 25, pp. 39-61, Springer-Verlag, 2013. ISBN 978-3-319-00375-7_4

From data sharing and integration via VPH models to personalized medicine

Haridimos Kondylakis
Invited Talk Clustering Event on Ambient Intelligence, Advanced Technologies in Support of Healthcare and Assisted Living, Foundation for Research & Technology - Hellas, Heraklion, Crete, Greece, 26-27th September, 2013.

2012

IEmS: A collaborative Environment for Patient Empowerment

Haridimos Kondylakis, Lefteris Koumakis, Eirini Genitsaridi, Manolis Tsiknakis, Kostas Marias, Gabriella Pravettoni, Alessandra Gorini, Ketti Mazzocco

Ontology Evolution: Assisting Query Migration

Haridimos Kondylakis, Dimitris Plexousakis
Conference Paper31st International Conference on Conceptual Modeling (ER), 2012, pp. 331-344, Florence, Italy

Computerized Clinical Guidelines: Current Status & Directions for Future Research

Haridimos Kondylakis, Manolis Tsiknakis
Conference PaperMedical Informatics Europe (MIE),pp. 432-436, 2012, Italy, Pisa

Knowledge Representation in a Proof Checker for Logic Programs

Emmanouil Marakakis, Haridimos Kondylakis, Nikos Papadakis
Book Chapter Knowledge Representation, ISBN 979-953-307-594-4

2011

Ontology Evolution in Data Integration: Query Rewriting to the Rescue

Haridimos Kondylakis, Dimitris Plexousakis

Exelixis: Evolving Ontology-Based Data Integration System

Haridimos Kondylakis, Dimitris Plexousakis

CIDOC-CRM Method: A Standardisation View

Haridimos Kondylakis, Martin Doerr, Dimitris Plexousakis
Invited TalkBOC Partner Meeting, Vienna, September 8, 2011 PDF

2010

Ontology Evolution in Data Integration

Haridimos Kondylakis
PhD Thesis, Computer Science Department, University of Crete, 2010

Ontology Evolution in Data Integration

Haridimos Kondylakis, Dimitris Plexousakis, Yannis Tzitzikas

Semantic Technology to enable Business and IT alignment

Haridimos Kondylakis, Dimitris Plexousakis, Holger Wache , Daniela Fieldkamp , Knut Hinkelmann, Alexander Bergmayr
Workshop PaperOpen Knowledge Models (OKM) 2010

Εξέλιξη οντολογιών σε συστήματα ολοκήρωσης πληροφορίας

Haridimos Kondylakis, Dimitris Plexousakis, Yannis Tzitzikas
 

Ontology evolution in Data Integration

Haridimos Kondylakis, Dimitris Plexousakis, Yannis Tzitzikas

A Solution to the Ramification Problem Expressed in Temporal Description Logics

Nikos Papadakis, P. Petrakis, Dimitris Plexousakis, Haridimos Kondylakis

Enabling ontology evolution in data integration

Haridimos Kondylakis, Dimitris Plexousakis

2009

Empowering Provenance in Data Integration

Haridimos Kondylakis, Martin Doerr, Dimitris Plexousakis
Conference PaperADBIS , pp. 270-285

Ontology and Schema Evolution in Data Integration: Review and Assessment.

Haridimos Kondylakis, Giorgos Flouris, Dimitris Plexousakis

2008

A new gene expression signature related to breast cancer estrogen receptor status

Eleni G. Christodoulou, Marina Ioannou, Maria Kafousi, Elias Sanidas, Georgios Papagiannakis, Vasiliki Danilatou, Georgia Tsiliki, Thanasis Margaritis, Haridimos Kondylakis, Dimitris Manakanatas, Lefteris Koumakis, Alexandros Kanterakis, Stamatis Vassilaros, Manolis Tsiknakis, Anastasia Analyti, George Potamias, Dimitris Tsiftsis, Efstathios Stathopoulos,Dimitris Kafetzopoulos
Conference PaperBIBE 2008:1-7

An Integrated Clinico-Proteomics Information Management and Analysis Platform

Manos Kalaitzakis, Vangelis Kritsotakis, Haridimos Kondylakis, George Potamias, Manolis Tsiknakis, Dimitris Kafetzopoulos
Conference PaperCBMS 2008:218-220

Ontology Based Integration of Distributed and Heterogeneous Data Sources in ACGT

Luis Martín, Alberto Anguita, Victor Maojo, Erwin Bonsma, Anca I. D. Bucur, Jeroen Vrijnsen, Mathias Brochhausen, Cristian Cocos,Holger Stenzhorn, Manolis Tsiknakis, Martin Doerr, Haridimos Kondylakis
Conference PaperHEALTHINF 2008:301-306

Ontology change: classification and survey

Giorgos Flouris, Dimitris Manakanatas, Haridimos Kondylakis, Dimitris Plexousakis, Grigoris Antoniou
Journal PaperKnowledge Eng. Review (KER) 23(2):117-152 (2008)

A Multi-agent Environment for Serving Proof Explanations in the Semantic Web

Grigoris Antoniou, Antonis Bikakis, Polyvios Damianakis, Mixalhs Foukarakis, Giorgos Iacovidis, Marianna Karmazi, Haridimos Kondylakis,Antreas Makridakis, Giorgos Nikiforos, Grigoris Papadourakis, Manolis Papoutsakis, Aggeliki Psyharaki, Giorgos Stratakis, Panagiotis Tourlakis, Petros Tsialiamanis, Giorgos Vasiliadis, Gerd Wagner, Dimitris Velegrakis
Conference PaperSETN 2008:26-37

2007

Ontology-Based Query System for Distributed Sources

Haridimos Kondylakis, Anastasia Analyti, Dimitris Plexousakis
Conference PaperADBIS 2007:359-375

Functional specifications of an integrated proteomics information management and analysis platform

Manolis Tsiknakis, Pierre Grangeat, Pierre Alain Binz, George Potamias, Frederique Lisacek, Laurent Gerfault, Caroline PAULUS, Dimitris Manakanatas, Vaggelis Kondylakis, Haris Kondylakis, Manuel Perez, Dimitris Plexousakis
Conference Paper29th IEEE EMBS Annual International Conference, 2007, Lyon France

The Loccandia Integrated Clinico-Proteomics Environment

George Potamias, Manolis Tsiknakis, Dimitris Kafetzopoulos, Manuel M. Perez, Blanca Jordan, Pierre-Alain Binz, Frederique Lisacek, Vangelis Kritsotakis, Dimitris Manakanatas, Haridimos Kondylakis, Manos Kalaitzakis, Laurent Gerfault, Caroline Paulus, and Pierre Grangeat
Conference PaperIntrumental Methods of Analysis - Modern Trends and Applications" Conference (IMA 2007), Patra, Greece

2006

Integrating Clinical and Genomic Information Through the PrognoChip Mediator

Anastasia Analyti, Haridimos Kondylakis, Dimitris Manakanatas, Manos Kalaitzakis, Dimitris Plexousakis, George Potamias
Conference PaperISBMDA 2006:250-261

Mapping Language for Information Integration

Haridimos Kondylakis, Martin Doerr, Dimitris Plexousakis
Technical ReportTechnical Report ICS-FORTH/385

QUETE: Query Processing in Distributed Database Systems

Haridimos Kondylakis
Master of Science ThesisMaster of Science Thesis, Dept. of Computer Science, University of Crete

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Current Teaching Activities

  • Students

    Student Mentoring @ Computer Science Department, University of Crete

    Master Students

    M.Sc. Stratigi - Recommendation & Preferences (co-supervision with Kostas Stefanidis)

    Underdraduate Students

    Giorgos Dimitriadis - iSAX Indexing

    Thomas Triantafyllou - iSAX Indexing

    Dimitris Anagnostopoulos - DB Navigation using Mobile Devices

    Alexandros Charisiadis - Query Optimization over NoSQL Databases

    Apostolos Planas - Benchmarking Joins over NoSQL Databases

    Student Mentoring @ Department of Informatics Engineering, Technological Educational Institute of Crete, Greece

    Marios Vardalahakis - Implementing a platform for eHealth Smart Analytics

  • 2017 Spring

    Artificial Intelligence

    Department of Electrical Engineering, Technological Educational Institute of Crete, Greece

Teaching History

    • Students

      Student Mentoring @ Computer Science Department, University of Crete

      M.Sc. Alexandros Pappas - Summaries of Graph Databases (co-supervision with Dimitris Plexousakis) (2017)

      Mihalis Smyrlis - Evaluation of Question Answering systems for Medical Documents (2016)

      Antonis Fountouris - Implementing Joings over NoSQL Databases (2015)

    • 2016 Fall

      CS460 - Database Management Systems

      Computer Science Department, University of Crete

    • 2016 Fall

      Semantic Web(postgr)

      Department of Informatics Engineering, Technological Educational Institute of Crete, Greece

    • 2016 Fall

      Advanced Programming - Java

      Department of Electrical Engineering, Technological Educational Institute of Crete, Greece

    • 2016 Spring

      CS562 - Advanced Topics in Databases (postgr)

      Computer Science Department, University of Crete

    • 2016 Spring

      Artificial Intelligence (postgr)

      Department of Informatics Engineering, Technological Educational Institute of Crete, Greece

    • 2015 Fall

      CS460 - Database Management Systems

      Computer Science Department, University of Crete

    • 2015 Fall

      Semantic Web (postgr)

      Department of Informatics Engineering, Technological Educational Institute of Crete, Greece

    • 2015 Spring

      Principles of Information Systems

      Department of Informatics Engineering, Technological Educational Institute of Crete

    • 2015 Spring

      Advanced Databases

      Department of Informatics Engineering, Technological Educational Institute of Crete

    • 2014 Fall

      CS460 - Database Management Systems

      Computer Science Department, University of Crete

    • 2014 Fall

      Semantic Web (postgr)

      Department of Informatics Engineering, Technological Educational Institute of Crete

    • 2014 Spring

      CS-562 - Advanced Database Topics(postgr)

      Computer Science Department, University of Crete

    • 2014 Spring

      Artificial Intelligence (postgr)

      Department of Informatics Engineering, Technological Educational Institute of Crete

    • 2013 Fall

      Semantic Web(postgr)

      Department of Informatics Engineering, Technological Educational Institute of Crete

    • 2013 Spring

      Artificial Intelligence(postgr)

      Department of Informatics Engineering, Technological Educational Institute of Crete

    • 2013 2006

      Teaching Assistant @ Computer Science Department, University of Crete

           Logic

           Database Management Systems

           Knowledge Representation and Processing

           Files and Databases

      Laboratory Assistant @ Technological Educational Institute of Crete

           Web Programming

           Object-Oriented Programming

           Programming

           Programming in C I

           Programming in C II

           Programming in Programming in Visual Basic

      Laboratory Assistant @ Vocational Training Institute of Crete

           Oracle Databases

           Database Systems

At My Office

You can find me daily at my office located at Computational Medicine Laboratory at Institute of Computer Science,FORTH.

Postal Address

Institute of Computer Science,Foundation for Research and Technology-Hellas (FORTH), Science and Technology Park of Crete, N. Plasthra 100, Vassilika Vouton, ,GR 700 13 Heraklion, Crete, Greece.