Models of Interaction as a Grounding for Peer to Peer Knowledge Sharing

  • Authors:

  • David Robertson;Adam Barker;Paolo Besana;Alan Bundy;Yun Heh Chen-Burger;David Dupplaw;Fausto Giunchiglia;Frank Harmelen;Fadzil Hassan;Spyros Kotoulas;David Lambert;Guo Li;Jarred Mcginnis;Fiona Mcneill;Nardine Osman;Adrian Perreau Pinninck;Ronny Siebes;Carles Sierra;Chris Walton

  • Affiliations:

  • Informatics, University of Edinburgh, UK;Informatics, University of Edinburgh, UK;Informatics, University of Edinburgh, UK;Informatics, University of Edinburgh, UK;Informatics, University of Edinburgh, UK;Electronics and Computer Science, University of Southampton, UK;Information and Communication Technology, University of Trento, Italy;Mathematics and Computer Science, Free University, Amsterdam, Netherlands;Informatics, University of Edinburgh, UK;Mathematics and Computer Science, Free University, Amsterdam, Netherlands;Informatics, University of Edinburgh, UK;Informatics, University of Edinburgh, UK;Informatics, University of Edinburgh, UK;Informatics, University of Edinburgh, UK;Informatics, University of Edinburgh, UK;Artificial Intelligence Research Institute, Barcelona, Spain;Mathematics and Computer Science, Free University, Amsterdam, Netherlands;Artificial Intelligence Research Institute, Barcelona, Spain;Informatics, University of Edinburgh, UK

  • Venue:
  • Advances in Web Semantics I
  • Year:
  • 2008

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Abstract

Most current attempts to achieve reliable knowledge sharing on a large scale have relied on pre-engineering of content and supply services. This, like traditional knowledge engineering, does not by itself scale to large, open, peer to peer systems because the cost of being precise about the absolute semantics of services and their knowledge rises rapidly as more services participate. We describe how to break out of this deadlock by focusing on semantics related to interaction and using this to avoid dependency on a priori semantic agreement; instead making semantic commitments incrementally at run time. Our method is based on interaction models that are mobile in the sense that they may be transferred to other components, this being a mechanism for service composition and for coalition formation. By shifting the emphasis to interaction (the details of which may be hidden from users) we can obtain knowledge sharing of sufficient quality for sustainable communities of practice without the barrier of complex meta-data provision prior to community formation.