Ontology Based Integration of Distributed and Heterogeneous Data Sources in ACGT.

Anguita Sanchez, Alberto; Martín Martín, Luis; Maojo Garcia, Victor Manuel; Bonsma, Erwin; Bucur, Anca; Vrijnsen, Jeroen; Brochhausen, Mathias; Cocos, Cristian; Stenzhorn, Holger; Tsiknakis, Manolis; Doerr, Martin y Kondilakis, Haridimos (2008). Ontology Based Integration of Distributed and Heterogeneous Data Sources in ACGT.. En: "First International Conference on Health Informatics, HEALTHINF 2008", 28/01/2008-31/01/2008, Madeira, Portugal. ISBN 978-989-811116-6.

Descripción

Título: Ontology Based Integration of Distributed and Heterogeneous Data Sources in ACGT.
Autor/es:
  • Anguita Sanchez, Alberto
  • Martín Martín, Luis
  • Maojo Garcia, Victor Manuel
  • Bonsma, Erwin
  • Bucur, Anca
  • Vrijnsen, Jeroen
  • Brochhausen, Mathias
  • Cocos, Cristian
  • Stenzhorn, Holger
  • Tsiknakis, Manolis
  • Doerr, Martin
  • Kondilakis, Haridimos
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: First International Conference on Health Informatics, HEALTHINF 2008
Fechas del Evento: 28/01/2008-31/01/2008
Lugar del Evento: Madeira, Portugal
Título del Libro: Proceedings of the First International Conference on Health Informatics, HEALTHINF 2008
Fecha: 2008
ISBN: 978-989-811116-6
Materias:
Palabras Clave Informales: Ontology-based Biomedical Database Integration, Semantic Mediation, Ontologies, Post-genomic Clinical Trials, Service Oriented Architectures.
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this work, we describe the set of tools comprising the Data Access Infrastructure within Advancing Clinic-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, modeling 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.

Más información

ID de Registro: 4181
Identificador DC: http://oa.upm.es/4181/
Identificador OAI: oai:oa.upm.es:4181
URL Oficial: http://www.healthinf.biostec.org/Healthinf2008/
Depositado por: Memoria Investigacion
Depositado el: 14 Sep 2010 10:05
Ultima Modificación: 20 Abr 2016 13:31
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