Observatorio de I+D+i UPM

Descripción
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.
Internacional	Si
Nombre congreso	International Conference on Health Informatics 2008
Tipo de participación	960
Lugar del congreso	Madeira (Portugal)
Revisores	Si
ISBN o ISSN	978-989-8111-16-6
DOI
Fecha inicio congreso	28/01/2008
Fecha fin congreso	31/01/2008
Desde la página	301
Hasta la página	306
Título de las actas	Proceedings of the First International Conference on Health Informatics, HEALTHINF 2008

Esta actividad pertenece a memorias de investigación

• Participante: Anca I. D. Bucur
• Participante: Erwin Bonsma
• Participante: Mathias Brochhausen
• Participante: Manolis Tsiknakis
• Participante: Holger Stenzhorn
• Autor: Luis Martin Martin (UPM)
• Autor: Alberto Anguita Sanchez (UPM)
• Participante: Cristian Cocos
• Participante: Jeroen Vrijnsen
• Autor: Victor Manuel Maojo Garcia (UPM)
• Participante: Haridimos Kondylakis
• Participante: Martin Doerr

• Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
• Departamento: Inteligencia Artificial
• Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB