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A method for recommending ontology alignment strategies
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.
2007 (English)In: The semantic web: 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007, Proceedings / [ed] Karl Aberer, Key-Sun Choi, Natasha Noy Dean Allemang, Kyung-Il Lee, Lyndon Nixon Jennifer Golbeck, Peter Mika, Diana Maynard Riichiro Mizoguchi, Guus Schreiber Philippe Cudré-Mauroux, 2007, 494-507 p.Conference paper, Published paper (Refereed)
Abstract [en]

In different areas ontologies have been developed and many of these ontologies contain overlapping information. Often we would therefore want to be able to use multiple ontologies. To obtain good results, we need to find the relationships between terms in the different ontologies, i.e. we need to align them. Currently, there already exist a number of different alignment strategies. However, it is usually difficult for a user that needs to align two ontologies to decide which of the different available strategies are the most suitable. In this paper we propose a method that provides recommendations on alignment strategies for a given alignment problem. The method is based on the evaluation of the different available alignment strategies on several small selected pieces from the ontologies, and uses the evaluation results to provide recommendations. In the paper we give the basic steps of the method, and then illustrate and discuss the method in the setting of an alignment problem with two well-known biomedical ontologies. We also experiment with different implementations of the steps in the method.

Place, publisher, year, edition, pages
2007. 494-507 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (Print) 1611-3349 (Online) ; 4825
Keyword [en]
Computer science, Datavetenskap
National Category
Computer Science
Identifiers
URN: urn:nbn:se:hj:diva-18788DOI: 10.1007/978-3-540-76298-0_36ISBN: 978-3-540-76297-3 (print)OAI: oai:DiVA.org:hj-18788DiVA: diva2:542648
Conference
International Semantic Web Conference
Note
The book is based on the proceedings presented at the 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, Busan, Korea, November 11-15, 2007.Available from: 2012-08-02 Created: 2012-06-27 Last updated: 2012-11-30Bibliographically approved
In thesis
1. Aligning Biomedical Ontologies
Open this publication in new window or tab >>Aligning Biomedical Ontologies
2007 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The amount of biomedical information that is disseminated over the Web increases every day. This rich resource is used to find solutions to challenges across the life sciences. The Semantic Web for life sciences shows promise for effectively and efficiently locating, integrating, querying and inferring related information that is needed in daily biomedical research. One of the key technologies in the Semantic Web is ontologies, which furnish the semantics of the Semantic Web. A large number of biomedical ontologies have been developed. Many of these ontologies contain overlapping information, but it is unlikely that eventually there will be one single set of standard ontologies to which everyone will conform. Therefore, applications often need to deal with multiple overlapping ontologies, but the heterogeneity of ontologies hampers interoperability between different ontologies. Aligning ontologies, i.e. identifying relationships between different ontologies, aims to overcome this problem. A number of ontology alignment systems have been developed. In these systems various techniques and ideas have been proposed to facilitate identification of alignments between ontologies. However, there still is a range of issues to be addressed when we have alignment problems at hand. The work in this thesis contributes to three different aspects of identification of high quality alignments: 1) Ontology alignment strategies and systems. We surveyed the existing ontology alignment systems, and proposed a general ontology alignment framework. Most existing systems can be seen as instantiations of the framework. Also, we developed a system for aligning biomedical ontologies (SAMBO) according to this framework. We implemented various alignment strategies in the system. 2) Evaluation of ontology alignment strategies. We developed and implemented the KitAMO framework for comparative evaluation of different alignment strategies, and we evaluated different alignment strategies using the implementation. 3) Recommending optimal alignment strategies for different applications. We proposed a method for making recommendations.

Place, publisher, year, edition, pages
Linköping: Institutionen för datavetenskap, 2007. 24 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1110
Keyword
ontologies, biomedical ontologies, aligning ontologies, semantic web, knowledge management, Computer science
National Category
Computer Science
Identifiers
urn:nbn:se:hj:diva-18787 (URN)978-91-85831-56-2 (ISBN)
Supervisors
Note

Teknologie doktorsexamen

Available from: 2012-11-30 Created: 2012-06-27 Last updated: 2012-11-30Bibliographically approved

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Citation style
  • apa
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