Semantic Metrics
Semantic Metrics
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.
Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Hu, Bo
927680e6-b2b4-4b88-9a6e-20a86bb9d2d2
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Hu, Bo, Dasmahapatra, Srinandan and Lewis, Paul
(2009)
Semantic Metrics.
International Journal of Metadata, semantics and Ontologies.
(In Press)
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.
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Accepted/In Press date: 2009
Organisations:
Web & Internet Science, Southampton Wireless Group
Identifiers
Local EPrints ID: 266680
URI: http://eprints.soton.ac.uk/id/eprint/266680
PURE UUID: 63aedbfa-a80e-4905-ad97-3733ccb05134
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Date deposited: 19 Sep 2008 13:16
Last modified: 14 Mar 2024 08:32
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Contributors
Author:
Bo Hu
Author:
Srinandan Dasmahapatra
Author:
Paul Lewis
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