We argue that the knowledge base of an intelligent agent should be the
cornerstone for its evolution capabilities, and the agent can enhance its knowledge
base by exchanging knowledge with other agents. In this chapter, product ontology
is chosen as an instance of knowledge base. We propose a new approach to facilitate
ontology exchange among e-commerce agents. The ontology exchange model
and its formalities are elaborated. Product-brokering agents have been designed
and implemented, which accomplish the ontology exchange process from request
to integration.
0 Guan and Zhu
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of Idea Group Inc. is prohibited.
Introduction
Intelligent agents are already on the Web, freeing us from some drudgework of
searching and keeping us up to date automatically. For example, software agents may
help users sift through the mass of data and make intelligent decisions. However,
applications of software agents in e-commerce are just burgeoning. In the recent
decade, agent-based e-commerce (Dignum & Cort?©s, 2001; Glushko, Tenenbaum,
& Meltzer, 1999) has emerged and attracted many efforts in academic and industrial
fields.
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