On Constructing, Grouping and Using Topical Ontology for Semantic Matching

Authors:
Yan Tang;Peter Baer;Gang Zhao;Robert Meersman
Affiliations:
VUB STARLab 10G731, Vrije Universiteit Brussel, Elesene Brussels, Belgium 1050;VUB STARLab 10G731, Vrije Universiteit Brussel, Elesene Brussels, Belgium 1050;VUB STARLab 10G731, Vrije Universiteit Brussel, Elesene Brussels, Belgium 1050;VUB STARLab 10G731, Vrije Universiteit Brussel, Elesene Brussels, Belgium 1050
Venue:
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Year:
2009

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Abstract

An ontology topic is used to group concepts from different contexts (or even from different domain ontologies). This paper presents a pattern-driven modeling methodology for constructing and grouping topics in an ontology (PAD-ON methodology), which is used for matching similarities between competences in the human resource management (HRM) domain. The methodology is supported by a tool called PAD-ON. This paper demonstrates our recent achievement in the work from the EC Prolix project. The paper approach is applied to the training processes at British Telecom as the test bed.