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Ontology-based knowledge model for virtual communities profile


Eri, Zeti Darleena and Abdullah, Rusli and A. Jabar, Marzanah and Azmi Murad, Masrah Azrifah (2011) Ontology-based knowledge model for virtual communities profile. In: 5th Malaysian Conference in Software Engineering (MySEC 2011), 13-14 Dec. 2011, Johor Bahru, Malaysia. (pp. 508-511).


Knowledge management (KM) system is develop to support the organizational knowledge process of knowledge acquisition, knowledge organization, knowledge dissemination and knowledge application. The KM system must be able to support virtual communities (VC) of an organization. In order to determine the potential member of VC, the KM system should define, identify and structure VC based on its profile and knowledge. The process of VC classification based on knowledge and profile are not an easy process. The ontology based knowledge model will become essential in classifying and structuring knowledge of VC in an organization and many organizations has recognized that knowledge is a powerful asset. The aim of the paper is to analyze and promote the ontology based knowledge model VC profile in KM system so that the process of VC classification can be done. And later, the ontology based knowledge model VC profile can be use to standardize the classification of VC in KM system. The model can be reused and shared for other purposes. The knowledge models were developed and applied in the research and development (R&D) as a case study. Finally, the study will provide a holistic view that combines both usability and sociability factors in which often isolated when developing a KM system.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/MySEC.2011.6140657
Publisher: IEEE
Keywords: Virtual communities profile; Knowledge model; Ontology; KM system; Ontology based VC model
Depositing User: Nabilah Mustapa
Date Deposited: 12 Jun 2019 07:37
Last Modified: 12 Jun 2019 07:37
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/MySEC.2011.6140657
URI: http://psasir.upm.edu.my/id/eprint/69213
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