eprintid: 2812
rev_number: 13
eprint_status: archive
userid: 1903
dir: disk0/00/00/28/12
datestamp: 2010-05-11 09:43:07
lastmod: 2016-04-20 12:27:58
status_changed: 2010-05-11 09:43:07
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Anguita Sanchez, Alberto
creators_name: Martín Martín, Luis
creators_name: Crespo del Arco, Jose
creators_name: Tsiknakis, Manolis
title: An Ontology Based Method to Solve Query Identifier Heterogeneity in Post-Genomic Clinical Trials
ispublished: pub
subjects: informatica
keywords: Ontologies, clinical trials, database integration, semantic mediation
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.
date: 2008-05
date_type: published
publisher: IOS Press
official_url: http://www.iospress.nl/loadtop/load.php?isbn=shti
full_text_status: public
publication: Studies in Health Technology and Informatics
volume: 136
pagerange: 3-8
institution: Informatica
department: Inteligencia_Artificial
refereed: TRUE
issn: 0926-9630
rights: by-nc-nd
citation:   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.    
document_url: https://oa.upm.es/2812/1/INVE_MEM_2008_58833.pdf