ANN-agent for distributed knowledge source discovery

  • Authors:
  • Georgina Stegmayer;M. Caliusco;Omar Chiotti;M. Rosa Galli

  • Affiliations:
  • CIDISI-CONICET, Santa Fe, Argentina;CIDISI-CONICET, Santa Fe, Argentina;CIDISI-CONICET, Santa Fe, Argentina and INGAR-CONICET, Santa Fe, Argentina;CIDISI-CONICET, Santa Fe, Argentina and INGAR-CONICET, Santa Fe, Argentina

  • Venue:
  • OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems - Volume Part I
  • Year:
  • 2007

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Abstract

ThispaperpresentsanArtificialNeuralNetwork-based(ANN) agent with capabilities for discovering distributed knowledge sources. This agent has the responsibility of guiding knowledge requirements towards distributed ontology domains in the SemanticWeb, indicating i.e. potentially partners for the establishment of a dynamic collaborative relationship. The agent performs its task through a neural network model. This work shows a proposed reference architecture, explains the ontology- matching model ANN-based for the agent and presents preliminary good results obtained.