Termontography and DOGMA for Knowledge Engineering within PROLIX

Authors:
Peter Baer;Robert Meersman;Rita Temmerman
Affiliations:
STARLab, Vrije Universiteit Brussel, Brussels, Belgium 1050;STARLab, Vrije Universiteit Brussel, Brussels, Belgium 1050;Centre for Terminology and Communication, Erasmushogeschool Brussel, 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

In this article, we describe our ongoing research to combine two approaches, i.e. Termontography and DOGMA, for knowledge engineering. Both approaches have in common that they mainly rely on natural language to describe meaning. Termontography is a special form of terminography that results in an ontologically structured terminological resource. DOGMA is an abbreviation of Developing Ontology Guided Mediation for Agents. The DOGMA approach results in a scalable and modular ontology that can easily be (re)used for different domains and applications. Both Termontography and DOGMA have already been used separately during several research projects. In this article we explain how both approaches are being combined within the PROLIX project, and what the advantages of this combination are. The goal of PROLIX is to develop an open, integrated reference architecture for process-oriented learning and information exchange.