Abstract
Communities of Practice (CoPs) allow enhancing members learning and maintaining knowledge in a community memory as they evolve. Pertinent reuse of this knowledge could facilitate learning among the CoP members, increase their productivity and also improve the quality of their artefacts. In our online CoP environment, we include knowledge reuse based on the Case Based Reasoning (CBR) approach as one of the main functions, aiming at capitalizing the community knowledge. In fact, when a CoP member encounters a new problem, the first phase of the CBR cycle consists of retrieving previously experienced cases that are similar to the new problem.
In this paper, we propose a keywords-based similarity using a semantic network that contains all potential keywords of the CoP’s domain of interest, organized semantically. We also present our approach for automatically generating this semantic graph based on content extracted from an external source: the Wikipedia knowledge base.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chergui, O., Begdouri, A., Groux-Leclet, D.: CBR approach for knowledge reuse in a Community of Practice for university students. In: the 4th International Colloqium on Information Science and Technology, Tangier, Morocco October 24–26 (2016)
Kolodner, J.L.: An introduction to case-based reasoning. Artif. Intell. Rev. 6, 3–34 (1992)
Davis, R., Shrobe, H., Szolovits, P.: What is a knowledge representation? AI Mag. 14(1), 17–33 (1993)
Grundspenkis, J., Anohina-Naumeca, A.: Knowledge representation and networked schemes. http://stpk.cs.rtu.lv/sites/all/files/stpk/lecture_7.pdf
Fuzzy logic toolbox. http://www-rohan.sdsu.edu/doc/matlab/toolbox/fuzzy/fuzzytu5.html
Salem, A.M., Alfonse, M.: Ontology versus semantic networks for medical knowledge representation. In: 12th WSEAS International Conference on COMPUTERS, Heraklion, Greece, July 23–25 (2008)
deChambeau, A.L.: Supported Student Success: Communities of Practice in Higher Education (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Chergui, O., Begdouri, A., Groux-Leclet, D. (2017). Keyword-Based Similarity Using Automatically Generated Semantic Graph in an Online Community of Practice. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_56
Download citation
DOI: https://doi.org/10.1007/978-3-319-52836-6_56
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-52835-9
Online ISBN: 978-3-319-52836-6
eBook Packages: Computer ScienceComputer Science (R0)