Document (#36693)

Author

Hepp, M.
Bruijn, J. de

Title

GenTax : a generic methodology for deriving OWL and RDF-S ontologies from hierarchical classifications, thesauri, and inconsistent taxonomies

Source

Proceedings of the 4th European Semantic Web Conference (ESWC 2007), June 3-7, Innsbruck, Austria

Imprint

Berlin : Springer

Year

2007

Pages

S.129-144

Series

Lecture notes in computer science; vol. 4519

Abstract

Hierarchical classifications, thesauri, and informal taxonomies are likely the most valuable input for creating, at reasonable cost, non-toy ontologies in many domains. They contain, readily available, a wealth of category definitions plus a hierarchy, and they reflect some degree of community consensus. However, their transformation into useful ontologies is not as straightforward as it appears. In this paper, we show that (1) it often depends on the context of usage whether an informal hierarchical categorization schema is a classification, a thesaurus, or a taxonomy, and (2) present a novel methodology for automatically deriving consistent RDF-S and OWL ontologies from such schemas. Finally, we (3) demonstrate the usefulness of this approach by transforming the two e-business categorization standards eCl@ss and UNSPSC into ontologies that overcome the limitations of earlier prototypes. Our approach allows for the script-based creation of meaningful ontology classes for a particular context while preserving the original hierarchy, even if the latter is not a real subsumption hierarchy in this particular context. Human intervention in the transformation is limited to checking some conceptual properties and identifying frequent anomalies, and the only input required is an informal categorization plus a notion of the target context. In particular, the approach does not require instance data, as ontology learning approaches would usually do.

Content

Vgl. unter: http://www.heppnetz.de/files/hepp-de-bruijn-ESWC2007-gentax-CRC.pdf.

Theme

Wissensrepräsentation

Object

GenTax-Algorithmus
OWL
SKOS2OWL

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