Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-mining

Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-mining

Successful biomedical data mining and information extraction require a complete picture of biological phenomena such as genes, biological processes, and diseases; as these exist on different levels of granularity. To realize this goal, several freely available heterogeneous databases as well as prop...

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Main Authors: Verschelde Jean-Luc, Dos Santos Mariana Casella, Deray Tom, Smith Barry, Ceusters Werner
Format: Article
Language:English
Published: De Gruyter 2004-12-01
Series:Journal of Integrative Bioinformatics
Online Access:https://doi.org/10.1515/jib-2004-1
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spelling doaj-c619226204674278ac5ce71a053cd6ab2021-09-06T19:40:30ZengDe GruyterJournal of Integrative Bioinformatics1613-45162004-12-011111010.1515/jib-2004-1biecoll-jib-2004-1Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-miningVerschelde Jean-Luc0Dos Santos Mariana Casella1Deray Tom2Smith Barry3Ceusters Werner4Language and Computing, Maaltecenter Blok A 3, Derbystraat 79, B-9051 Sint-Denijs- Westrem, BelgiumLanguage and Computing, Maaltecenter Blok A 3, Derbystraat 79, B-9051 Sint-Denijs-Westrem, BelgiumLanguage and Computing, Maaltecenter Blok A 3, Derbystraat 79, B-9051 Sint-Denijs-Westrem, BelgiumInstitute for Formal Ontology and Medical Information Science, University of Leipzig, Germany United States of AmericaLanguage and Computing, Maaltecenter Blok A 3, Derbystraat 79, B-9051 Sint-Denijs-Westrem, BelgiumSuccessful biomedical data mining and information extraction require a complete picture of biological phenomena such as genes, biological processes, and diseases; as these exist on different levels of granularity. To realize this goal, several freely available heterogeneous databases as well as proprietary structured datasets have to be integrated into a single global customizable scheme. We will present a tool to integrate different biological data sources by mapping them to a proprietary biomedical ontology that has been developed for the purposes of making computers understand medical natural language.https://doi.org/10.1515/jib-2004-1
collection DOAJ
language English
format Article
sources DOAJ
author Verschelde Jean-Luc
Dos Santos Mariana Casella
Deray Tom
Smith Barry
Ceusters Werner
spellingShingle Verschelde Jean-Luc
Dos Santos Mariana Casella
Deray Tom
Smith Barry
Ceusters Werner
Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-mining
Journal of Integrative Bioinformatics
author_facet Verschelde Jean-Luc
Dos Santos Mariana Casella
Deray Tom
Smith Barry
Ceusters Werner
author_sort Verschelde Jean-Luc
title Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-mining
title_short Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-mining
title_full Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-mining
title_fullStr Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-mining
title_full_unstemmed Ontology-Assisted Database Integration to Support Natural Language Processing and Biomedical Data-mining
title_sort ontology-assisted database integration to support natural language processing and biomedical data-mining
publisher De Gruyter
series Journal of Integrative Bioinformatics
issn 1613-4516
publishDate 2004-12-01
description Successful biomedical data mining and information extraction require a complete picture of biological phenomena such as genes, biological processes, and diseases; as these exist on different levels of granularity. To realize this goal, several freely available heterogeneous databases as well as proprietary structured datasets have to be integrated into a single global customizable scheme. We will present a tool to integrate different biological data sources by mapping them to a proprietary biomedical ontology that has been developed for the purposes of making computers understand medical natural language.
url https://doi.org/10.1515/jib-2004-1
work_keys_str_mv AT verscheldejeanluc ontologyassisteddatabaseintegrationtosupportnaturallanguageprocessingandbiomedicaldatamining
AT dossantosmarianacasella ontologyassisteddatabaseintegrationtosupportnaturallanguageprocessingandbiomedicaldatamining
AT deraytom ontologyassisteddatabaseintegrationtosupportnaturallanguageprocessingandbiomedicaldatamining
AT smithbarry ontologyassisteddatabaseintegrationtosupportnaturallanguageprocessingandbiomedicaldatamining
AT ceusterswerner ontologyassisteddatabaseintegrationtosupportnaturallanguageprocessingandbiomedicaldatamining
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