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

TOLEDO, CARLOS; MARIEL ALE,; CHIOTTI, OMAR; ROSA GALLI, MARÍA

Congreso; CLEI 2010; 2010

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.