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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.
Title: | An Ontology Based Method to Solve Query Identifier Heterogeneity in Post-Genomic Clinical Trials |
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Author/s: |
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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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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.
Item ID: | 2812 |
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DC Identifier: | https://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 |