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Ontology alignment and merging
Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
Linköping University, Department of Computer and Information Science, IISLAB - Laboratory for Intelligent Information Systems.
2008 (English)In: Anatomy Ontologies for Bioinformatics: Principles and Practice, Springer, 2008, p. 133-150Chapter in book (Other academic)
Abstract [en]

In recent years many biomedical ontologies, including anatomy ontologies, have been developed. Many of these ontologies contain overlapping information and often we would want to be able to use multiple ontologies. This requires finding the relationships between terms in the different ontologies, i.e. we need to align them. Sometimes we also want to merge ontologies into a new one. In this chapter we give an overview of current ontology alignment and merging systems. We focus on systems that compute similarities between terms in the different ontologies. We present a general framework for these kind of systems and discuss the existing strategies. We also present such a system (SAMBO) and discuss its use using anatomy ontologies. Further, we take a first step in dealing with the problem of using the best alignment algorithms for the ontologies we want to align. We present and illustrate the use of a framework and a tool (KitAMO) for comparative evaluation of ontology alignment strategies and their combinations.

Place, publisher, year, edition, pages
Springer, 2008. p. 133-150
Series
Computational Biology, ISSN 1568-2684
Keywords [en]
ontologies, knowledge representation, bioinformatics, Computer science, Datavetenskap
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-18783DOI: 10.1007/978-1-84628-885-2_6ISBN: 978-1-84628-884-5 (print)OAI: oai:DiVA.org:hj-18783DiVA, id: diva2:542184
Available from: 2012-07-30 Created: 2012-06-27 Last updated: 2018-01-12Bibliographically approved

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Tan, He

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CiteExportLink to record
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Citation style
  • apa
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Language
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  • nn-NB
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  • Other locale
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Output format
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