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DOI: 10.14569/IJACSA.2013.040813
PDF

Bootstrapping Domain Knowledge Exploration using Conceptual Mapping of Wikipedia

Author 1: Mai Eldefrawi
Author 2: Ahmed Sharaf eldin Ahmed
Author 3: Adel Elsayed

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 8, 2013.

  • Abstract and Keywords
  • How to Cite this Article
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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.

Keywords: Conceptual Mapping; Conceptual Representation; Domain knowledge; Wikipedia; Self-regulated learners

Mai Eldefrawi, Ahmed Sharaf eldin Ahmed and Adel Elsayed, “Bootstrapping Domain Knowledge Exploration using Conceptual Mapping of Wikipedia” International Journal of Advanced Computer Science and Applications(IJACSA), 4(8), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040813

@article{Eldefrawi2013,
title = {Bootstrapping Domain Knowledge Exploration using Conceptual Mapping of Wikipedia},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040813},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040813},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {8},
author = {Mai Eldefrawi and Ahmed Sharaf eldin Ahmed and Adel Elsayed}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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