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Publicado em: 14/10/2010

An Agent-based Ontology Evolution Strategy for Ontology-driven Knowledge Management Systems

O Doutorando Carlos Toledo, participante do programa de intercâmbio entre a UFRGS e a UTN (National Technological University), da Argentina, fará uma apresentação nesta Sexta dia 15/10/2010, as 10:30h, na sala 111 (prédio das salas de aula) como prévia do artigo An Agent-based Ontology Evolution Strategy for Ontology-driven Knowledge Management Systems, que apresentará em breve.

An Agent-based Ontology Evolution Strategy for Ontology-driven Knowledge Management Systems

Carlos M. Toledo, Mariel A. Ale, Omar Chiotti and  Maríaa R. Galli

Institute of Development and Design

National Council of Scientific and Technological Research

Santa Fe – Argentina

 

Abstract:

Domain ontologies are used in ontology-driven knowledge management approaches with the aim of capturing knowledge, providing a compromised understanding of a domain, and allowing integration between different formats of information sources. Because the domain knowledge changes and grows over time, enabling such evolution by means of the extension of the domain ontology, it is necessary to maintain the whole semantics of organizational documents. In this paper, we propose an agent-based strategy to extend the domain ontology by adding new concepts during the annotated process of a document. Moreover, with the objective of trying out the proposed strategy, we developed a flexible framework to experiment with ontology-driven knowledge management approaches and agent-based ontology evolution strategies. Using the developed framework, the proposed strategy and a document semantic annotation algorithm are implemented, tested and experimental results are evaluated.