Ontology-based solution for data warehousing in genetic neurological disease

In the field of genetic disorder of the nervous system, there is a huge amount of information available on the Internet. Extracting relevant information from these heterogeneous sources is a complex task usually dedicated to data warehouse. Heterogeneity can be related to the structure or the semant...

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Bibliographic Details
Published inWorld Congress on Engineering 2012. July 4-6, 2012. London, UK pp. 616 - 621
Main Authors Awad, Donia, Tout, Hassan, Courboulay, Vincent, Revel, Arnaud
Format Journal Article
LanguageEnglish
Published 01.07.2012
Subjects
Data warehousing
Genetics
Heterogeneity
Internet
Mathematical models
Nervous system
Semantics
Tasks
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Summary:In the field of genetic disorder of the nervous system, there is a huge amount of information available on the Internet. Extracting relevant information from these heterogeneous sources is a complex task usually dedicated to data warehouse. Heterogeneity can be related to the structure or the semantics of sources. While solutions exist to solve the first problem, the second one remains a major problem. In this article, we propose an ontology-based solution to the problem of semantic heterogeneity of biological sources. Our objective is to facilitate the definition of a warehouse containing data from these sources by considering solutions in the CIG (Cooperative Information Gathering) domain. Our solution consists of a set of three models: "Topic", "Semantics", and "Cooperative answer"; represented theoretically by logical predicates. In this paper, we present an implementation of this ontology in Protege using OWL and SWRL languages.
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ISSN:2078-0958