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How to Reuse a Faceted Classification and Put it on the Semantic Web

Record type: Conference or Workshop Item (Paper)

There are ontology domain concepts that can be represented according to multiple alternative classification criteria. Current ontology modeling guidelines do not explicitly consider this aspect in the representation of such concepts. To assist with this issue, we examined a domain-specific simplified model for facet analysis used in Library Science. This model produces a Faceted Classification Scheme (FCS) which accounts for the multiple alternative classification criteria of the domain concept under scrutiny. A comparative analysis between a FCS and the Normalisation Ontology Design Pattern (ODP) indicates the existence of key similarities between the elements in the generic structure of both knowledge representation models. As a result, a mapping is identified that allows to transform a FCS into an OWL DL ontology applying the Normalisation ODP. Our contribution is illustrated with an existing FCS example in the domain of "Dishwashing Detergent" that benefits from the outcome of this study.

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Citation

Rodriguez-Castro, Bene, Glaser, Hugh and Carr, Les (2010) How to Reuse a Faceted Classification and Put it on the Semantic Web At The 9th International Semantic Web Conference (ISWC), China.

More information

Published date: June 2010
Additional Information: Best Student Paper Award Nominee (http://iswc2010.semanticweb.org/awards) Event Dates: November 2010
Venue - Dates: The 9th International Semantic Web Conference (ISWC), China, 2010-11-01
Keywords: facet analysis, faceted classification, normalisation, ontology design pattern, ontology modeling, multiple inheritance, classification criteria
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 271488
URI: http://eprints.soton.ac.uk/id/eprint/271488
PURE UUID: 0314902a-c687-4925-97f7-47c1944ab357
ORCID for Les Carr: ORCID iD orcid.org/0000-0002-2113-9680

Catalogue record

Date deposited: 16 Aug 2010 23:57
Last modified: 18 Jul 2017 06:42

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Contributors

Author: Bene Rodriguez-Castro
Author: Hugh Glaser
Author: Les Carr ORCID iD

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