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Suggesting Missing Relations in Biomedical Ontologies Based on Lexical Regularities
University of Murcia, Spain.
University of Murcia, Spain.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering.
2016 (English)In: EXPLORING COMPLEXITY IN HEALTH: AN INTERDISCIPLINARY SYSTEMS APPROACH, IOS PRESS , 2016, Vol. 228, 384-388 p.Conference paper, Published paper (Refereed)
Abstract [en]

The number of biomedical ontologies has increased significantly in recent years. Many of such ontologies are the result of efforts of communities of domain experts and ontology engineers. The development and application of quality assurance (QA) methods should help these communities to develop useful ontologies for both humans and machines. According to previous studies, biomedical ontologies are rich in natural language content, but most of them are not so rich in axiomatic terms. Here, we are interested in studying the relation between content in natural language and content in axiomatic form. The analysis of the labels of the classes permits to identify lexical regularities (LRs), which are sets of words that are shared by labels of different classes. Our assumption is that the classes exhibiting an LR should be logically related through axioms, which is used to propose an algorithm to detect missing relations in the ontology. Here, we analyse a lexical regularity of SNOMED CT, congenital stenosis, which is reported as problematic by the SNOMED CT maintenance team.

Place, publisher, year, edition, pages
IOS PRESS , 2016. Vol. 228, 384-388 p.
Series
Studies in Health Technology and Informatics, ISSN 0926-9630
Keyword [en]
lexical regularities; ontologies; quality assurance; SNOMED CT
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-133904DOI: 10.3233/978-1-61499-678-1-384ISI: 000390309900075ISBN: 978-1-61499-678-1; 978-1-61499-677-4 (print)OAI: oai:DiVA.org:liu-133904DiVA: diva2:1064973
Conference
Medical Informatics Europe (MIE) Conference at Conference on Health - Exploring Complexity (HEC) - An Interdisciplinary Systems Approach
Available from: 2017-01-13 Created: 2017-01-13 Last updated: 2017-01-13

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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