Title: Capturing dynamicity in knowledge modelling

Authors: Bogdan Denny Czejdo

Addresses: Department of Mathematics and Computer Science, Fayetteville State University, Fayetteville, NC 28301, USA

Abstract: Knowledge modelling is a very important activity that still faces major challenges. In this paper, we address one of these challenges related to the modelling of dynamic situations. We provide a solution for such modelling based on sequences of ontologies and their transitions. An important part of our solution is a graphical representation that can help in human-computer interactions during initial knowledge capture, knowledge refinement and querying of the knowledge bases.

Keywords: knowledge modelling; knowledge representation; modelling languages; Universal Modeling Language; UML; e-learning; computer science education; electronic learning; online learning; ontologies; human-computer interactions; HCI; knowledge capture; knowledge refinement; knowledge base queries.

DOI: 10.1504/IJKL.2010.034747

International Journal of Knowledge and Learning, 2010 Vol.6 No.2/3, pp.99 - 113

Published online: 21 Aug 2010 *

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