Semantic Resolution for E-commerce
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2002-07-15
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Yun Peng , Youyong Zou , Xiaocheng Luan, Nenad Ivezic , Michael Gruninger, Albert Jones, Semantic Resolution for E-commerce, AAMAS '02 Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3 Pages 1037 - 1038 , DOI: 10.1145/545056.545065
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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0
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.