A SEMANTIC GRID SERVICES ARCHITECTURE IN SUPPORT OF EFFICIENT KNOWLEDGE DISCOVERY FROM MULTILEVEL CLINICAL AND GENOMIC DATASETS

Manolis Tsiknakis, Stelios Sfakianakis, Stefan Rueping, Oswaldo Trelles, Thierry Siestang, Brecht Claerhout, Vasiilis Virvilis

Abstract

This paper presents the architectural considerations of the Advancing Clinico-Genomic Trials on Cancer (ACGT) project aiming at delivering a European Biomedical Grid in support of efficient knowledge discovery in the context of post-genomic clinical trials on cancer. Our main research challenge in ACGT is the requirement to develop an infrastructure able to produce, use, and deploy knowledge as a basic element of advanced applications, which will mainly constitute a Biomedical Knowledge Grid. Our approach to offer semantic modelling of available services and data sources to support high level services and dynamic services for discovery and composition will be presented. In particular, ontologies and metadata are the basic elements through which Grid intelligence services can be developed, and the current achievements of the project in this domain will be discussed.

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Paper Citation


in Harvard Style

Tsiknakis M., Sfakianakis S., Rueping S., Trelles O., Siestang T., Claerhout B. and Virvilis V. (2008). A SEMANTIC GRID SERVICES ARCHITECTURE IN SUPPORT OF EFFICIENT KNOWLEDGE DISCOVERY FROM MULTILEVEL CLINICAL AND GENOMIC DATASETS . In Proceedings of the First International Conference on Health Informatics - Volume 1: Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 279-287. DOI: 10.5220/0001045402790287


in Bibtex Style

@conference{special session on knowledge discovery and decision support systems in health information systems08,
author={Manolis Tsiknakis and Stelios Sfakianakis and Stefan Rueping and Oswaldo Trelles and Thierry Siestang and Brecht Claerhout and Vasiilis Virvilis},
title={A SEMANTIC GRID SERVICES ARCHITECTURE IN SUPPORT OF EFFICIENT KNOWLEDGE DISCOVERY FROM MULTILEVEL CLINICAL AND GENOMIC DATASETS},
booktitle={Proceedings of the First International Conference on Health Informatics - Volume 1: Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems, (BIOSTEC 2008)},
year={2008},
pages={279-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001045402790287},
isbn={978-989-8111-16-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Health Informatics - Volume 1: Special Session on Knowledge Discovery and Decision Support Systems in Health Information Systems, (BIOSTEC 2008)
TI - A SEMANTIC GRID SERVICES ARCHITECTURE IN SUPPORT OF EFFICIENT KNOWLEDGE DISCOVERY FROM MULTILEVEL CLINICAL AND GENOMIC DATASETS
SN - 978-989-8111-16-6
AU - Tsiknakis M.
AU - Sfakianakis S.
AU - Rueping S.
AU - Trelles O.
AU - Siestang T.
AU - Claerhout B.
AU - Virvilis V.
PY - 2008
SP - 279
EP - 287
DO - 10.5220/0001045402790287