Memorias de investigación
Artículos en revistas:
An Ontology Based Method to Solve Query Identifier Heterogeneity in Post- Genomic Clinical Trials
Año:2008
Áreas de investigación
  • Inteligencia artificial,
  • Lenguaje de programación
Datos
Descripción
The increasing amount of information available for biomedical research has led to issues related to knowledge discovery in large collections of data. Moreover, Information Retrieval techniques must consider heterogeneities present in databases, initially belonging to different domains¿e.g. clinical and genetic data. One of the goals, among others, of the ACGT European is to provide seamless and homogeneous access to integrated databases. In this work, we describe an approach to overcome heterogeneities in identifiers inside queries. We present an ontology classifying the most common identifier semantic heterogeneities, and a service that makes use of it to cope with the problem using the described approach. Finally, we illustrate the solution by analysing a set of real queries.
Internacional
Si
JCR del ISI
No
Título de la revista
Studies in health technology and informatics
ISSN
0926-9630
Factor de impacto JCR
0
Información de impacto
Volumen
DOI
Número de revista
136
Desde la página
3
Hasta la página
8
Mes
ENERO
Ranking
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Participantes
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
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB