Source: International Journal of Metadata, Semantics and Ontologies, Volume 2, Number 4, 11 July 2008 , pp. 242-258(17)
Publisher: Inderscience Publishers
Abstract:In the context of the Semantic Web, many ontology-related operations, e.g., ontology ranking, segmentation, alignment, articulation, reuse, evaluation, etc., can be boiled down to one fundamental operation: computing the similarity and/or dissimilarity among ontological entities, and in some cases among ontologies. In this paper, we review conventional metrics for computing distance and we propose a series of metrics conceived purposely for semantics rich entities. We give a formal account of semantic metrics drawn from a variety of research disciplines and enrich them with formalisation based on Description Logics. We argue that concept-based metrics can be aggregated to produce numeric distances at ontology-level. We speculate on the usability of our ideas in potential ontology engineering tasks.
Document Type: Research article
Affiliations: 1: Intelligence, Agents, Multimedia Group, Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK. 2: Intelligence, Agents, Multimedia Group, Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK
Publication date: 2008-07-11
- International Journal of Metadata, Semantics and Ontologies aims at publishing research advances and discussions about meta-data in a broad sense, and about their associated semantics and ontological structures, from a multi-disciplinary perspective, and with an emphasis on domain-specific ontologies and organisational, human interaction and social issues regarding metadata annotation, use and assessment. It also intends covering Semantic Web research, as a concrete metadata-intensive technological framework in which shared and standardised semantics are a critical issue.
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