Models of interaction as a grounding for Peer to peer knowledge sharing

David Robertson*, Adam Barker, Paolo Besana, Alan Bundy, Yun Heh Chen-Burger, David Dupplaw, Fausto Giunchiglia, Frank Van Harmelen, Fadzil Hassan, Spyros Kotoulas, David Lambert, Guo-chao Li, Jarred McGinnis, Fiona McNeill, Nardine Osman, Adrian Perreau De Pinninck, Ronny Siebes, Carles Sierra, Chris Walton

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


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.

Original languageEnglish
Title of host publicationAdvances in Web Semantics I - Ontologies, Web Services and Applied Semantic Web
Number of pages49
Volume4891 LNCS
Publication statusPublished - 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4891 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

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