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 - for deriving a context-driven integration of multiple knowledge artifacts. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Hussain, S. (2009). K-morph : AA semantic web based knowledge representation and context-driven morphing framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5549 LNAI, pp. 279–282). https://doi.org/10.1007/978-3-642-01818-3_42
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