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ONTOLOGY BASED INTEGRATION OF DISTRIBUTED AND HETEROGENEOUS DATA SOURCES IN ACGT

Topics: Affective Computing; Cognitive Informatics; Confidentiality and Data Security; Databases and Datawarehousing; Datamining; Decision Support Systems; Development of Assistive Technology for Independent Living; e-Commerce in the Health Sector; Ehealth; Expert Systems in Healthcare; Hospital Management Systems; Human-Machine Interfaces for Disabled Persons; ICT for Cognitive Disabilities; ICT, Ageing and Disability; Interoperability; Medical and Nursing Informatics; Online Medical Applications; Physiological Modeling; Practice Based Research Methods for Assistive Technology; Semantic Interoperability; Socio-Economic Issues of Assistive Technology; Telemedicine; Therapeutic Systems and Technologies; Wearable Health Informatics

Authors: Luis Martín 1 ; Alberto Anguita 1 ; Víctor Maojo 1 ; Erwin Bonsma 2 ; Anca Bucur 2 ; Jeroen Vrijnsen 2 ; Mathias Brochhausen 3 ; Christian Cocos 3 ; Holger Stenzhorn 3 ; Manolis Tsiknakis 4 ; Martin Doerr 4 and Haridimos Kondylakis 4

Affiliations: 1 Biomedical Informatics Group, Artificial Intelligence Laboratory, School of Computer Science, Universidad Politécnica de Madrid, Spain ; 2 Phillips Research, Healthcare System Architecture, Netherlands ; 3 IFOMIS, Universität des Saarlandes, Germany ; 4 Institute of Computer Science Foundation for Research and Technology - Hellas, Greece

Keyword(s): Ontology-based Biomedical Database Integration, Semantic Mediation, Ontologies, Post-genomic Clinical Trials, Service Oriented Architectures.

Related Ontology Subjects/Areas/Topics: Affective Computing ; Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Business Analytics ; Cardiovascular Technologies ; Cloud Computing ; Cognitive Informatics ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Computing and Telecommunications in Cardiology ; Confidentiality and Data Security ; Data Engineering ; Data Mining ; Databases and Datawarehousing ; Databases and Information Systems Integration ; Datamining ; Development of Assistive Technology ; Devices ; Distributed and Mobile Software Systems ; e-Business ; e-Commerce in the Health Sector ; e-Health ; Enterprise Information Systems ; Expert Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Hospital Management Systems ; Human-Computer Interaction ; Human-Machine Interfaces for Disabled Persons ; ICT for Cognitive Disabilities ; ICT, Ageing and Disability ; Integration/Interoperability ; Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Medical and Nursing Informatics ; Mobile Technologies ; Mobile Technologies for Healthcare Applications ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Online Medical Applications ; Ontologies and the Semantic Web ; Physiological Computing Systems ; Physiological Modeling ; Platforms and Applications ; Practice Based Research Methods for Assistive Technology ; Semantic Interoperability ; Sensor Networks ; Signal Processing ; Simulation and Modeling ; Socio-Economic Issues of Assistive Technology ; Soft Computing ; Software Agents and Internet Computing ; Software and Architectures ; Software Engineering ; Symbolic Systems ; Telemedicine ; Therapeutic Systems and Technologies ; Wearable Sensors and Systems

Abstract: In this work, we describe the set of tools comprising the Data Access Infrastructure within Advancing Clinico-genomic Trials on Cancer (ACGT), a R&D Project funded in part by the European. This infrastructure aims at improving Post-genomic clinical trials by providing seamless access to integrated clinical, genetic, and image databases. A data access layer, based on OGSA-DAI, has been developed in order to cope with syntactic heterogeneities in databases. The semantic problems present in data sources with different nature are tackled by two core tools, namely the Semantic Mediator and the Master Ontology on Cancer. The ontology is used as a common framework for semantics, modelling the domain and acting as giving support to homogenization. SPARQL has been selected as query language for the Data Access Services and the Mediator. Two experiments have been carried out in order to test the suitability of the selected approach, integrating clinical and DICOM image databases.

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Paper citation in several formats:
Martín, L.; Anguita, A.; Maojo, V.; Bonsma, E.; Bucur, A.; Vrijnsen, J.; Brochhausen, M.; Cocos, C.; Stenzhorn, H.; Tsiknakis, M.; Doerr, M. and Kondylakis, H. (2008). ONTOLOGY BASED INTEGRATION OF DISTRIBUTED AND HETEROGENEOUS DATA SOURCES IN ACGT. In Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 1: Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems; ISBN 978-989-8111-16-6; ISSN 2184-4305, SciTePress, pages 301-306. DOI: 10.5220/0001045503010306

@conference{special session on knowledge discovery and decision support systems in health information systems08,
author={Luis Martín. and Alberto Anguita. and Víctor Maojo. and Erwin Bonsma. and Anca Bucur. and Jeroen Vrijnsen. and Mathias Brochhausen. and Christian Cocos. and Holger Stenzhorn. and Manolis Tsiknakis. and Martin Doerr. and Haridimos Kondylakis.},
title={ONTOLOGY BASED INTEGRATION OF DISTRIBUTED AND HETEROGENEOUS DATA SOURCES IN ACGT},
booktitle={Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 1: Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems},
year={2008},
pages={301-306},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001045503010306},
isbn={978-989-8111-16-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 1: Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems
TI - ONTOLOGY BASED INTEGRATION OF DISTRIBUTED AND HETEROGENEOUS DATA SOURCES IN ACGT
SN - 978-989-8111-16-6
IS - 2184-4305
AU - Martín, L.
AU - Anguita, A.
AU - Maojo, V.
AU - Bonsma, E.
AU - Bucur, A.
AU - Vrijnsen, J.
AU - Brochhausen, M.
AU - Cocos, C.
AU - Stenzhorn, H.
AU - Tsiknakis, M.
AU - Doerr, M.
AU - Kondylakis, H.
PY - 2008
SP - 301
EP - 306
DO - 10.5220/0001045503010306
PB - SciTePress

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