Memorias de investigación
Communications at congresses:
Ontology Based Integration of Distributed and Heterogeneous Data Sources in ACGT.
Year:2008
Research Areas
  • Artificial intelligence,
  • Programming language
Information
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.
International
Si
Congress
International Conference on Health Informatics 2008
960
Place
Madeira (Portugal)
Reviewers
Si
ISBN/ISSN
978-989-8111-16-6
Start Date
28/01/2008
End Date
31/01/2008
From page
301
To page
306
Proceedings of the First International Conference on Health Informatics, HEALTHINF 2008
Participants
  • 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
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
  • Departamento: Inteligencia Artificial
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB