Situated Cognition in the Semantic Web Era

Authors:
Paul Compton;Byeong Ho Kang;Rodrigo Martinez-Bejar;Mamatha Rudrapatna;Arcot Sowmya
Affiliations:
School of Computer Science and Engineering, University of New South Wales, Australia NSW 2052;School of Computing, University of Tasmania, Sandy Bay, Tasmania, Australia 7005;KLT Group, University of Murcia, Espinardo, (Murcia), Spain 30071;School of Computer Science and Engineering, University of New South Wales, Australia NSW 2052;School of Computer Science and Engineering, University of New South Wales, Australia NSW 2052
Venue:
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Year:
2008

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Abstract

The challenge of situated cognition mounted by Clancey and others 20 years ago seems to have had little impact on the technical development of AI systems. However, the hopes for the Semantic Web also seem far from being realised in much the same way as too much was expected of expert systems, and again this seems to be because of the situated nature of knowledge. In this paper we claim that a possible way forward is to always ground the use of concepts in real data in particular contexts. We base this claim on experience with Ripple-Down Rule systems.