Patrick Lambrix
Department of Computer and Information Science, Linköpings universitet, Sweden
Qing Liu
Department of Computer and Information Science, Linköpings universitet, Sweden
Tan He
Department of Computer and Information Science, Linköpings universitet, Sweden
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Ingår i: The Swedish AI Society Workshop May 27-28; 2009 IDA; Linköping University
Linköping Electronic Conference Proceedings 35:4, s. 13-20
Publicerad: 2009-05-27
ISBN:
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
In recent years many ontologies have been developed and many of these ontologies contain overlapping information. To be able to use multiple ontologies they have to be aligned. In this paper we present and discuss results from aligning ontologies in a real case; the anatomy case in the 2008 Ontology Alignment Evaluation Initiative. We do this by briefly describing a base system for ontology alignment; SAMBO; and an extension; SAMBOdtf; and present and discuss their results for the anatomy case. SAMBO and SAMBOdtf performed best and second best among the 9 participating systems. SAMBO uses a combination of string matching and the use of domain knowledge. SAMBOdtf uses the same strategies but; in addition; uses an advanced filtering technique that augments recall while maintaining a high precision. Further; we describe the first results on ontology alignment using a partial reference alignment.
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