Memorias de investigación
Ponencias en congresos:
Data Access and Management in ACGT: Tools to solve syntactic and semantic heterogeneities between clinical and image databases
Año:2007

Áreas de investigación
  • Inteligencia artificial,
  • Lenguaje de programación

Datos
Descripción
Recent changes in data management within post-genomic clinical trials have emphasized the need for novel methods and tools to solve semantic and syntactic heterogeneities among distributed sources of information. ACGT is an Integrated Project funded by the European Commission that aims at building a GRID-based platform comprised by a set of tools to support multi-centric post-genomic clinical trials on cancer. The main goal of ACGT is to provide seamless access to heterogeneous sources of information. For this purpose, two core tools were developed and included in the ACGT architecture: the ACGT Semantic Mediator (ACGT-SM), and the Data Access Wrappers (ACGT-DAWs). The ACGT-SM addresses semantics and schema integration, while the ACGT-DAWs cope with syntactic heterogeneities. Once the sources are bridged together, they can be seamlessly accessed using the RDQL query language.We tested our tools using a set of three relational and DICOM based image sources obtaining promising results.
Internacional
Si
Nombre congreso
First International Workshop on Conceptual Modelling for Life Sciences Applications (CMLSA) 2007
Tipo de participación
960
Lugar del congreso
Auckland (New Zealand)
Revisores
Si
ISBN o ISSN
DOI
Fecha inicio congreso
05/11/2007
Fecha fin congreso
09/11/2007
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Esta actividad pertenece a memorias de investigación

Participantes
  • Participante: A Anguita
  • Participante: G Potamias
  • Participante: L Martín
  • Participante: J Vrijnsen
  • Autor: Jose Crespo Del Arco UPM
  • Participante: E Bonsma
  • Participante: M Brochhausen
  • Autor: Miguel Garcia Remesal UPM
  • Participante: M Tsiknakis

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
  • Departamento: Inteligencia Artificial
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software