Abstract
We describe a research project on resolving semantic differences for multi-agent systems (MAS) in electronic commerce. The approach can be characterized as follows: (1) agents in a MAS may have their own specific ontologies defined on top of a shared base ontology; (2) concepts in these ontologies are represented as frame-like structures based on DAML+OIL language; (3) the semantic differences between agents are resolved at runtime through inter-agent communication; and (4) the resolution is viewed as an abductive inference process, and thus necessarily involves approximation reasoning.
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Peng, Y., Zou, Y., Luan, X., Ivezic, N., Gruninger, M., Jones, A. (2003). Semantic Resolution for E-commerce. In: Truszkowski, W., Hinchey, M., Rouff, C. (eds) Innovative Concepts for Agent-Based Systems. WRAC 2002. Lecture Notes in Computer Science(), vol 2564. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45173-0_27
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DOI: https://doi.org/10.1007/978-3-540-45173-0_27
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