Semantic resolution for e-commerce

Authors:
Yun Peng;Youyong Zou;Xiaocheng Luan;Nenad Ivezic;Michael Gruninger;Albert Jones
Affiliations:
University of Maryland, Baltimore, MD;University of Maryland, Baltimore, MD;University of Maryland, Baltimore, MD;Nat'l Institute of Standards and Tech., Gaithersburg, MD;Nat'l Institute of Standards and Tech., Gaithersburg, MD;Nat'l Institute of Standards and Tech., Gaithersburg, MD
Venue:
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Year:
2002

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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 approximate reasoning.