Welcome to the InfoSci Platform
Reference Hub3
A Semantic Based Approach for Knowledge Capitalization in Communities of Practice of E-Learning

A Semantic Based Approach for Knowledge Capitalization in Communities of Practice of E-Learning

Lamia Berkani, Azeddine Chikh
Copyright: © 2012 |Volume: 3 |Issue: 4 |Pages: 11
ISSN: 1947-8429|EISSN: 1947-8437|EISBN13: 9781466613324|DOI: 10.4018/jksr.2012100101
Cite Article Cite Article

MLA

Berkani, Lamia, and Azeddine Chikh. "A Semantic Based Approach for Knowledge Capitalization in Communities of Practice of E-Learning." IJKSR vol.3, no.4 2012: pp.1-11. http://doi.org/10.4018/jksr.2012100101

APA

Berkani, L. & Chikh, A. (2012). A Semantic Based Approach for Knowledge Capitalization in Communities of Practice of E-Learning. International Journal of Knowledge Society Research (IJKSR), 3(4), 1-11. http://doi.org/10.4018/jksr.2012100101

Chicago

Berkani, Lamia, and Azeddine Chikh. "A Semantic Based Approach for Knowledge Capitalization in Communities of Practice of E-Learning," International Journal of Knowledge Society Research (IJKSR) 3, no.4: 1-11. http://doi.org/10.4018/jksr.2012100101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Communities of Practice of E-learning (CoPEs) are considered as a virtual framework for exchanging and sharing techno-pedagogic knowledge and know-how between actors of e-learning. However, after analyzing of knowledge management modalities in some CoPEs, the authors noticed that knowledge is often represented in a way that does not facilitate its access and reuse. Accordingly, this paper focuses on knowledge capitalization in CoPEs and proposes an ontology-based framework aiming to facilitate knowledge sharing and reuse. This framework is structured into three layers: (1) the ontology layer, (2) the semantic annotation layer, and (3) the asset layer. It provides respectively, a common vocabulary within a CoPE aiming to enable a shared understanding between its members, a semantic support to annotate its knowledge assets facilitating their retrieval and reuse, and a means of storage and indexing its different assets. The paper is illustrated with a case study related to a semantic adaptive wiki, a service proposed for a CoPE made up of a teaching staff in computer science at the USTHB University in Algeria.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.