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RCal: a case study on semantic web agents

Published:15 July 2002Publication History

ABSTRACT

The Semantic Web promises to change the way agents navigate, harvest and utilize information on the internet. By providing a structured, distributed representation for expressing concepts and relationships defined by multiple ontologies, it is now possible for agents to read and reason about published knowledge, without the need for scrapers, information agents, and centralized ontologies. We present the RETSINA Calendar Agent, a distributed meeting scheduler, that reads schedules (such as conference programs, events, etc) marked up in RDF on the Semantic Web, and imports these into the user's Personal Information Manager. The embedded Semantic Web Browsing tool allows the user to explore related concepts within the schedule, and to query other agents and service providers for more information.

References

  1. A. Ankolekar et. al. DAML-S: Semantic markup for web services. In International Semantic Web Working Symposium, 2001Google ScholarGoogle Scholar
  2. T. Berners-Lee, J. Hendler, and O. Lassila. The Semantic Web. Scientific American, 284(5):34--43, 2001Google ScholarGoogle ScholarCross RefCross Ref
  3. O. Lassila and R. R. Swick. Resource Description Framework (RDF) Model and Syntax Specification. http://www.w3.org/TR/REC-rdf-syntax/, 1999Google ScholarGoogle Scholar
  4. R. G. Smith. The Contract Net Protocol: High-Level Communications and Control in a Distributed Problem Solver. IEEE Transactions on Computers, C29(12), 1980Google ScholarGoogle Scholar

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  1. RCal: a case study on semantic web agents

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      • Published in

        cover image ACM Conferences
        AAMAS '02: Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
        July 2002
        508 pages
        ISBN:1581134800
        DOI:10.1145/544862

        Copyright © 2002 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 15 July 2002

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        Overall Acceptance Rate1,155of5,036submissions,23%

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