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Alignment of the UMLS semantic network with BioTop: methodology and assessment

Motivation: For many years, the Unified Medical Language System (UMLS) semantic network (SN) has been used as an upper-level semantic framework for the categorization of terms from terminological resources in biomedicine. BioTop has recently been developed as an upper-level ontology for the biomedic...

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Autores principales: Schulz, Stefan, Beisswanger, Elena, van den Hoek, László, Bodenreider, Olivier, van Mulligen, Erik M.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687948/
https://www.ncbi.nlm.nih.gov/pubmed/19478019
http://dx.doi.org/10.1093/bioinformatics/btp194
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author Schulz, Stefan
Beisswanger, Elena
van den Hoek, László
Bodenreider, Olivier
van Mulligen, Erik M.
author_facet Schulz, Stefan
Beisswanger, Elena
van den Hoek, László
Bodenreider, Olivier
van Mulligen, Erik M.
author_sort Schulz, Stefan
collection PubMed
description Motivation: For many years, the Unified Medical Language System (UMLS) semantic network (SN) has been used as an upper-level semantic framework for the categorization of terms from terminological resources in biomedicine. BioTop has recently been developed as an upper-level ontology for the biomedical domain. In contrast to the SN, it is founded upon strict ontological principles, using OWL DL as a formal representation language, which has become standard in the semantic Web. In order to make logic-based reasoning available for the resources annotated or categorized with the SN, a mapping ontology was developed aligning the SN with BioTop. Methods: The theoretical foundations and the practical realization of the alignment are being described, with a focus on the design decisions taken, the problems encountered and the adaptations of BioTop that became necessary. For evaluation purposes, UMLS concept pairs obtained from MEDLINE abstracts by a named entity recognition system were tested for possible semantic relationships. Furthermore, all semantic-type combinations that occur in the UMLS Metathesaurus were checked for satisfiability. Results: The effort-intensive alignment process required major design changes and enhancements of BioTop and brought up several design errors that could be fixed. A comparison between a human curator and the ontology yielded only a low agreement. Ontology reasoning was also used to successfully identify 133 inconsistent semantic-type combinations. Availability: BioTop, the OWL DL representation of the UMLS SN, and the mapping ontology are available at http://www.purl.org/biotop/. Contact: stschulz@uni-freiburg.de
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spelling pubmed-26879482009-06-02 Alignment of the UMLS semantic network with BioTop: methodology and assessment Schulz, Stefan Beisswanger, Elena van den Hoek, László Bodenreider, Olivier van Mulligen, Erik M. Bioinformatics Ismb/Eccb 2009 Conference Proceedings June 27 to July 2, 2009, Stockholm, Sweden Motivation: For many years, the Unified Medical Language System (UMLS) semantic network (SN) has been used as an upper-level semantic framework for the categorization of terms from terminological resources in biomedicine. BioTop has recently been developed as an upper-level ontology for the biomedical domain. In contrast to the SN, it is founded upon strict ontological principles, using OWL DL as a formal representation language, which has become standard in the semantic Web. In order to make logic-based reasoning available for the resources annotated or categorized with the SN, a mapping ontology was developed aligning the SN with BioTop. Methods: The theoretical foundations and the practical realization of the alignment are being described, with a focus on the design decisions taken, the problems encountered and the adaptations of BioTop that became necessary. For evaluation purposes, UMLS concept pairs obtained from MEDLINE abstracts by a named entity recognition system were tested for possible semantic relationships. Furthermore, all semantic-type combinations that occur in the UMLS Metathesaurus were checked for satisfiability. Results: The effort-intensive alignment process required major design changes and enhancements of BioTop and brought up several design errors that could be fixed. A comparison between a human curator and the ontology yielded only a low agreement. Ontology reasoning was also used to successfully identify 133 inconsistent semantic-type combinations. Availability: BioTop, the OWL DL representation of the UMLS SN, and the mapping ontology are available at http://www.purl.org/biotop/. Contact: stschulz@uni-freiburg.de Oxford University Press 2009-06-15 2009-05-27 /pmc/articles/PMC2687948/ /pubmed/19478019 http://dx.doi.org/10.1093/bioinformatics/btp194 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Ismb/Eccb 2009 Conference Proceedings June 27 to July 2, 2009, Stockholm, Sweden
Schulz, Stefan
Beisswanger, Elena
van den Hoek, László
Bodenreider, Olivier
van Mulligen, Erik M.
Alignment of the UMLS semantic network with BioTop: methodology and assessment
title Alignment of the UMLS semantic network with BioTop: methodology and assessment
title_full Alignment of the UMLS semantic network with BioTop: methodology and assessment
title_fullStr Alignment of the UMLS semantic network with BioTop: methodology and assessment
title_full_unstemmed Alignment of the UMLS semantic network with BioTop: methodology and assessment
title_short Alignment of the UMLS semantic network with BioTop: methodology and assessment
title_sort alignment of the umls semantic network with biotop: methodology and assessment
topic Ismb/Eccb 2009 Conference Proceedings June 27 to July 2, 2009, Stockholm, Sweden
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687948/
https://www.ncbi.nlm.nih.gov/pubmed/19478019
http://dx.doi.org/10.1093/bioinformatics/btp194
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