Paper Details

  • Title:

    Trusted Reasoning Services for Semantic Web Agents

  • Author(s):

    K. Kravari, E. Kontopoulos, Nick Bassiliades

  • Keywords: Semantic Web, Intelligent Agents, Multi-Agent Systems, Reasoning.
  • Abstract:

    The Semantic Web aims at enriching information with well-defined semantics, making it possible both for people and machines to understand Web content. Intelligent agents are the most prominent approach towards realizing this vision. Nevertheless, agents do not necessarily share a common rule or logic formalism, neither would it be realistic to attempt imposing specific logic formalisms in a rapidly changing world like the Web. Thus, based on the plethora of proposals and standards for logic- and rule-based reasoning for the Semantic Web, a key factor for the success of Semantic Web agents lies in the interoperability of reasoning tasks. This paper reports on the implementation of trusted, third party reasoning services wrapped as agents in a multi-agent system framework. This way, agents can exchange their arguments, without the need to conform to a common rule or logic paradigm – via an external reasoning service, the receiving agent can grasp the semantics of the received rule set. Finally, a use case scenario is presented that illustrates the viability of the proposed approach.

  • Category: Journal Papers
  • Tags: 2010 Kravari Kontopoulos Bassiliades