Abstract

Wikipedia is one of the largest online encyclopedias that exist in a hypertext form. This nature prevents Wikipedia’s potential to be fully discovered. Therefore the focus of this paper is on the role of domain knowledge in supporting the exploration of classical encyclopedic content, which in this case is Wikipedia. A main contribution provided by the author of this work is a methodology for identifying the nature, the form and the role of domain knowledge expressed in conceptual form. It’s also a method of representation and analysis for describing the domain knowledge and for the extraction of the logical representation of a raw form of the domain knowledge. Such logical representation is of limited value in describing the real nature of domain knowledge. Hence we transform it into an adequate graphical representation, mostly of an arc-node form which is called conceptual representation.

Highlights

  • Domain knowledge exploration is one of key elements for learners specially when exploring open sources of knowledge

  • The domain selected in the first case is Database; there are two main reasons for choosing this domain

  • Even though our representation began by the analysis for articles from Wikipedia category tree and not from other sources, the results show wider views and interconnectivity between concepts within a domain

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Summary

Introduction

Domain knowledge exploration is one of key elements for learners specially when exploring open sources of knowledge. The rapid technological age we are living has made it more demanding to develop new approaches and methodologies for exploring the knowledge available on the web. This requires a proper support for learners when exploring the web especially when they only have limited knowledge of a subject domain [11]. Learners who depend on online resources are usually selfregulated learners who need proper guidance. These online resources provide a rich and prosperous environment, but if not well managed learners can face a cognitive overload and distraction [13]

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