${\cal K}$-${\cal MORPH}$: A Semantic Web Based Knowledge Representation and Context-Driven Morphing Framework

Authors:
Sajjad Hussain
Affiliations:
NICHE Research Group, Faculty of Computer Science, Dahousie University, Canada
Venue:
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2009

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Abstract

A knowledge-intensive problem is often not solved by an individual knowledge artifact; rather the solution needs to draw upon multiple, and even heterogeneous, knowledge artifacts. The synthesis of multiple knowledge artifacts to derive a `comprehensive' knowledge artifact is a non-trivial problem. We discuss the need of knowledge morphing, and propose a Semantic Web based framework ${\cal K}$-${\cal MORPH}$ for deriving a context-driven integration of multiple knowledge artifacts.