Experimentation with local consensus ontologies with implications for automated service composition

Andrew B. Williams, Anand Padmanabhan, M. Brian Blake

Research output: Contribution to journalArticle

28 Scopus citations

Abstract

Agent technologies represent a promising approach for the integration of interorganizational capabilities across distributed, networked environments. However, knowledge sharing interoperability problems can arise when agents incorporating differing ontologies try to synchronize their internal information. Moreover, in practice, agents may not have a common or global consensus ontology that will facilitate knowledge sharing and integration of functional capabilities. We propose a method to enable agents to develop a local consensus ontology during operation time as needed. By identifying similarities in the ontologies of their peer agents, a set of agents can discover new concepts/relations and integrate them into a local consensus ontology on demand. We evaluate this method, both syntactically and semantically, when forming local consensus ontologies with and without the use of a lexical database. We also report on the effects when several factors, such as the similarity measure, the relation search level depth, and the merge order, are varied. Finally, experimenting in the domain of agent-supported Web service composition, we demonstrate how our method allows us to successfully autonomously form service-oriented local consensus ontologies.

Original languageEnglish (US)
Pages (from-to)969-981
Number of pages13
JournalIEEE Transactions on Knowledge and Data Engineering
Volume17
Issue number7
DOIs
StatePublished - Jul 1 2005

Keywords

  • Agent-mediated electronic commerce
  • Ontologies in agent-based information systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Information Systems

Fingerprint Dive into the research topics of 'Experimentation with local consensus ontologies with implications for automated service composition'. Together they form a unique fingerprint.

  • Cite this