Local consensus ontologies for B2B-oriented service composition

  • Authors:
  • Andrew Williams;Anand Padmanabhan;M. Brian Blake

  • Affiliations:
  • University of Iowa, Iowa City, IA;University of Iowa, Iowa City, IA;Georgetown University, Washington, DC

  • Venue:
  • AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
  • Year:
  • 2003

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Abstract

Agents seeking to discover and compose needed Web services may face knowledge sharing interoperability problems due to differing ontologies. In practice, agents may not have a global consensus ontology that will facilitate knowledge sharing and integration of required services. We investigate a method for agents to develop local consensus ontologies to aid in the communication within a multi-agent system of business-to-business (B2B) agents. We compare variations of syntactic and semantic similarity matching to form local consensus ontologies with and without the use of a lexical database.