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Semantic Resolution for E-Commerce

Published

Author(s)

Yun Peng, Y Zou, X Luan, Nenad Ivezic, Albert T. Jones

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.
Proceedings Title
Proceedings of the NASA Workshop on Radical Agents
Conference Location
, USA

Keywords

e-commerce, ontology, semantic mapping, semantic resolution, supply chain

Citation

Peng, Y. , Zou, Y. , Luan, X. , Ivezic, N. and Jones, A. (2003), Semantic Resolution for E-Commerce, Proceedings of the NASA Workshop on Radical Agents, , USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=822063 (Accessed May 26, 2024)

Issues

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Created July 31, 2003, Updated October 12, 2021