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Aligning and Mergin...
Aligning and Merging Biomedical Ontologies
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- Tan, He, 1977- (författare)
- Linköpings universitet,IISLAB - Laboratoriet för intelligenta informationssystem,Tekniska högskolan,Linköpings universitet, Institutionen för datavetenskap, IISLAB - Laboratoriet för intelligenta informationssystem
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- Lambrix, Patrick (preses)
- Linköpings universitet,IISLAB - Laboratoriet för intelligenta informationssystem,Tekniska högskolan,Linköpings universitet, Institutionen för datavetenskap, IISLAB - Laboratoriet för intelligenta informationssystem
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- Shahmehri, Nahid (preses)
- Linköpings universitet,IISLAB - Laboratoriet för intelligenta informationssystem,Tekniska högskolan,Linköpings universitet, Institutionen för datavetenskap, IISLAB - Laboratoriet för intelligenta informationssystem
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- Servenius, Bo, Dr. (opponent)
- AstraZeneca, R&D, SE-221 87 Lund
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(creator_code:org_t)
- ISBN 9185497010
- Linköping : Institutionen för datavetenskap, 2006
- Engelska 73 s.
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Serie: Linköping Studies in Science and Technology. Thesis, 0280-7971 ; 1225
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Abstract
Ämnesord
Stäng
- Due to the explosion of the amount of biomedical data, knowledge and tools that are often publicly available over the Web, a number of difficulties are experienced by biomedical researchers. For instance, it is difficult to find, retrieve and integrate information that is relevant to their research tasks. Ontologies and the vision of a Semantic Web for life sciences alleviate these difficulties. In recent years many biomedical ontologies have been developed and many of these ontologies contain overlapping information. To be able to use multiple ontologies they have to be aligned or merged. A number of systems have been developed for aligning and merging ontologies and various alignment strategies are used in these systems. However, there are no general methods to support building such tools, and there exist very few evaluations of these strategies. In this thesis we give an overview of the existing systems. We propose a general framework for aligning and merging ontologies. Most existing systems can be seen as instantiations of this framework. Further, we develop SAMBO (System for Aligning and Merging Biomedical Ontologies) according to this framework. We implement different alignment strategies and their combinations, and evaluate them in terms of quality and processing time within SAMBO. We also compare SAMBO with two other systems. The work in this thesis is a first step towards a general framework that can be used for comparative evaluations of alignment strategies and their combinations.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Ontologies
- Ontology engineering
- Biomedical ontologies
- Ontology alignment
- Ontology alignment
- Ontology merging
- Information technology
- Informationsteknik
Publikations- och innehållstyp
- vet (ämneskategori)
- lic (ämneskategori)
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