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Constructing Consensus Ontologies for the Semantic Web: A Conceptual Approach

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Abstract

Organizational knowledge typically comes from numerous independent sources, each with its own semantics. This paper describes a methodology by which information from large numbers of such sources can be associated, organized, and merged. The hypothesis is that a multiplicity of ontology fragments, representing the semantics of the independent sources, can be related to each other automatically without the use of a global ontology. That is, any pair of ontologies can be related indirectly through a semantic bridge consisting of many other previously unrelated ontologies, even when there is no way to determine a direct relationship between them. The relationships among the ontology fragments indicate the relationships among the sources, enabling the source information to be categorized and organized. An evaluation of the methodology has been conducted by relating numerous small, independently developed ontologies for several domains. A nice feature of the methodology is that common parts of the ontologies reinforce each other, while unique parts are deemphasized. The result is a consensus ontology.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29208, USA

    Larry M. Stephens, Aurovinda K. Gangam & Michael N. Huhns

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  1. Larry M. Stephens
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  2. Aurovinda K. Gangam
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  3. Michael N. Huhns
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Stephens, L.M., Gangam, A.K. & Huhns, M.N. Constructing Consensus Ontologies for the Semantic Web: A Conceptual Approach. World Wide Web 7, 421–442 (2004). https://doi.org/10.1023/B:WWWJ.0000040801.68204.2b

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