Semantic metrics

  • Authors:

  • Bo Hu;Yannis Kalfoglou;Harith Alani;David Dupplaw;Paul Lewis;Nigel Shadbolt

  • Affiliations:

  • IAM Group, ECS, University of Southampton, UK;IAM Group, ECS, University of Southampton, UK;IAM Group, ECS, University of Southampton, UK;IAM Group, ECS, University of Southampton, UK;IAM Group, ECS, University of Southampton, UK;IAM Group, ECS, University of Southampton, UK

  • Venue:
  • EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
  • Year:
  • 2006

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Abstract

In the context of the Semantic Web, many ontology-related operations, e.g. ontology ranking, segmentation, alignment, articulation, reuse, evaluation, can reduced to one fundamental operation: computing the similarity and/or dissimilarity among ontological entities, and in some cases among ontologies themselves. In this paper, we review standard metrics for computing distance measures and we propose a series of semantic metrics. We give a formal account of semantic metrics drawn from a variety of research disciplines, and enrich them with semantics based on standard Description Logic constructs. We argue that concept-based metrics can be aggregated to produce numeric distances at ontology-level and we speculate on the usability of our ideas in potential areas.