An Ontology Based Method to Solve Query Identifier Heterogeneity in Post-Genomic Clinical Trials

Anguita Sanchez, Alberto and Martín Martín, Luis and Crespo del Arco, Jose and Tsiknakis, Manolis (2008). An Ontology Based Method to Solve Query Identifier Heterogeneity in Post-Genomic Clinical Trials. "Studies in Health Technology and Informatics", v. 136 ; pp. 3-8. ISSN 0926-9630.

Description

Title: An Ontology Based Method to Solve Query Identifier Heterogeneity in Post-Genomic Clinical Trials
Author/s:
  • Anguita Sanchez, Alberto
  • Martín Martín, Luis
  • Crespo del Arco, Jose
  • Tsiknakis, Manolis
Item Type: Article
Título de Revista/Publicación: Studies in Health Technology and Informatics
Date: May 2008
ISSN: 0926-9630
Volume: 136
Subjects:
Freetext Keywords: Ontologies, clinical trials, database integration, semantic mediation
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 2812
DC Identifier: http://oa.upm.es/2812/
OAI Identifier: oai:oa.upm.es:2812
Official URL: http://www.iospress.nl/loadtop/load.php?isbn=shti
Deposited by: Memoria Investigacion
Deposited on: 11 May 2010 09:43
Last Modified: 20 Apr 2016 12:27
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