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dc.contributor.authorGuan, SU-
dc.contributor.authorZhu, F-
dc.identifier.citationJournal of Research and Practice in Information Technology. 36(1): 35-46en
dc.description.abstractAgent-based electronic commerce (e-commerce) has been booming with the development of the Internet and agent technologies. However, little effort has been devoted to exploring the learning and evolving capabilities of software agents. This paper addresses issues of evolving software agents in e-commerce applications. An agent structure with evolution features is proposed with a focus on internal hierarchical knowledge. We argue that knowledge base of agents should be the cornerstone for their evolution capabilities, and agents can enhance their knowledge bases by exchanging knowledge with other agents. In this paper, 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.en
dc.format.extent221557 bytes-
dc.publisherAustralian Computer Societyen
dc.subjectSoftware agentsen
dc.subjectOntology exchangeen
dc.subjectProduct brokeringen
dc.titleOntology acquisition and exchange of evolutionary product-brokering agentsen
dc.typeResearch Paperen
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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