An instance-based approach for identifying candidate ontology relations within a multi-agent system
Andrew Brent Williams, Costas Tsatsoulis · 2000
. Discovering related concepts in a multi-agent system among agents with diverse ontologies is difficult using existing knowledge representation languages and approaches. We describe an approach for identifying candidate relations between expressive, diverse ontologies using concept cluster integration. We evaluate the feasibility of this approach using lightweight ontologies. These lightweight ontologies are constructed from the Magellan search Web site and consist of Web page categories, or concepts, and their corresponding instances. 1 INTRODUCTION In order to facilitate knowledge sharing between a group of interacting information agents (i.e. a multi-agent system), a common ontology should be shared. However, we recognize that often agents do not always commit a priori to a common, pre-defined global ontology. Our ongoing research investigates approaches for agents with diverse ontologies to share knowledge by automated learning methods and agent communication strategies [15]. Wh...