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K-MORPH: A Semantic Web Based Knowledge Representation and Context-driven Morphing

Summary: K-MORPH: A Semantic Web Based Knowledge
Representation and Context-driven Morphing
Sajjad Hussain1 and Syed Sibte Raza Abidi1
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. Each
knowledge artifact may differ in terms of its modality, origin, and
format; and may have different functional/operational roles in differ-
ent problem-contexts. The synthesis of multiple knowledge artifacts
to derive a `comprehensive' knowledge artifact is a non-trivial prob-
lem. In this paper, we propose a semantic web based knowledge rep-
resentation and morphing framework K-MORPH that (a) seman-
tically models the knowledge of various knowledge artifacts found in
different modalities as ontologies; (b) semantically annotates the het-
erogeneous knowledge artifacts based on their respective ontologies;
(c) represents the domain-specific constraints and specifications for
the morphed knowledge, and treats them as a problem-context; (d)
defines morphing constructs, to identify problem-specific knowledge
components from the entire knowledge artifacts; (e) reconciles re-


Source: Abidi, Syed Sibte Raza - Faculty of Computer Science, Dalhousie University


Collections: Computer Technologies and Information Sciences