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Semantic Resolution for E-commerce

  • Yun Peng
  • Youyong Zou
  • Xiaocheng Luan
  • Nenad Ivezic
  • Michael Gruninger
  • Albert Jones
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2564)

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.

Keywords

Resource Description Framework Description Logic Semantic Mapping Semantic Difference Base Ontology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Yun Peng
    • 1
  • Youyong Zou
    • 1
  • Xiaocheng Luan
    • 1
  • Nenad Ivezic
    • 2
  • Michael Gruninger
    • 2
  • Albert Jones
    • 2
  1. 1.Department of Computer Science and Electrical EngineeringUniversity of Maryland Baltimore County (UMBC)BaltimoreUSA
  2. 2.National Institute of Standards and Technology (NIST)GaithersburgUSA

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