Elie Raad
Joerg Evermann
ABSTRACT
Ontologies are formal descriptions of a domain. With the growth of the semantic web, an increasing number of related ontologies with overlapping domain coverage are available. Their integration requires ontology alignment, a determination of which concepts in a source ontology are like concepts in a target ontology. This paper presents a novel approach to this problem by applying analogical reasoning, an area of cognitive science that has seen much recent work, to the ontology alignment problem. We investigate the performance of the LISA cognitive analogy algorithm and present results that show its performance relative to other algorithms.
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Index Terms
- Is ontology alignment like analogy?: knowledge integration with LISA
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