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Ontological Model of Virtual Community of Practice (VCoP) Participation: a Case of Research Group Community in Higher Learning Institution


Affiliations
1 Faculty of Computer Science and Information Technology, Information System Department, University Putra Malaysia 43400 UPM, Serdang, Selangor, Malaysia
2 Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
 

The increasing number of Virtual Communities of Practice (VCoP) leads to the needs of having an ontological model in mapping new members (new researchers) to their relevant Research Group(s) especially in Higher Learning Institution. This paper proposes a new model of ontology of Virtual Community of Practice (VCoP) called Ontology-based VCoP (Onto-VCoP) that can help new member of researcher to identify themselves for the suitability of joining research groups efficiently. The efficiency of our model is based on mapping technique that was adopted from Ehrig and Staab [1] Quick Ontology Mapping (QOM). Onto-VCoP model applied ontology to represent knowledge and QOM to map data between new researchers and research groups. Systematically reviewed for literature and pre-survey is done to get the user requirement and to support objective of this paper. The result shows Onto-VCoP model may help new researchers to identify research groups based on their research interest efficiently.

Keywords

Virtual Communities of Practice, Ontology, Quick Ontology Mapping, Research, Research Group, High Learning Institution
User

  • Ehrig M, and Staab S (2004). QOM – Quick Ontology Mapping, The Semantic Web – ISWC 2004, Lecture Notes in Computer Science, vol 3298, 683–697.

  • Eri Z D, Abdullah R et al. (2012). Virtual Communities model using ontology of group classification for research communities, International Conference on Information Retrival & Knowledge Management (CAMP), 126–130.

  • Holm J (2001). Capturing the spirit of knowledge management, AMCIS 2001 Proceedings. Paper 438.

  • Gruber T R (1993). A translation approach to portable ontology specifications, Knowledge Acquisition, vol 5(2), 199–220.

  • Gruber T R (1995). Toward principles for the design of ontologies used for knowledge sharing, International Journal of Human-Computer Studies, vol 43(5–6), 907–928.

  • Godugula S (2008). Survey of ontology mapping techniques, Software Quality and Assurance, Available from: http://www.cs.uni-paderborn.de/fileadmin/Informatik/AG-Engels/Lehre/SS08/Seminar_Software-Qualit%C3%A4tssicherung/Seminararbeiten/Vers._1.0/ontology_seminar_report_august1.pdf

  • Menzies T. (1999). Cost–benefits of Ontologies, Journal Submission on ontologies, vol 10(3), 26–33.

  • Davies J, and Duke A (2003). OntoShare: a knowledge management environment for virtual communities of practice, K-CAP ‘03 Proceedings of the 2nd International Conference on Knowledge Cpture, 20–27.

  • Andreatos A (2009). On the definition and impact of virtual communities of practice, International Journal of Virtual Communities and Social Networking, vol 1(4), 73–78, DOI: 10.4018/jvcsn.2009092205.

  • Castano S, Antonellis V D et al. (2001). Global viewing of heterogeneous data sources, Knowledge and Data Engineering, vol 13(2), 277–297.

  • Do H H, and Rahm. E (2002). COMA – a system for flexible combination of schema matching approaches. Proceedings of the Very Large Data Bases Conference (VLDB), 610–621, DOI: 10.1109/69.917566.

  • Noy N F, and Musen M A (2001). Anchor-PROMPT: using nonlocal context for semantic matching, Proceedings of the Workshop on Ontologies and Information Sharing at the International Joint Conference on Artificial Intelligence (IJCAI), Available from: http://se-pubs.dbs.uni-leipzig.de/files/Noy2001AnchorPROMPTUsingNonLocal.pdf

  • Giunchiglia F, Shvaiko P et al. (2005). Semantic schema matching, On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE, Lecture Notes in Computer Science, vol 3760, 347–365.

  • Aziz A A (2009). Rasch Model Fundamentals: Scale Construct and Measurement Structure, Perpustakaan Negara, Kuala Lumpur, Malaysia.

  • Shirazi H M, Shirazi M M et al. (2009). Discovering user interest by ontology-based user profile, International Journal of Intelligent Information Technology Application, vol 2(1), 19.

  • Fisher W P (2007). Rating scale instrument quality criteria, Rasch Measurement Transactions, vol 21(1), 1095, Available from: http://www.rasch.org/rmt/rmt211m.htm


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  • Ontological Model of Virtual Community of Practice (VCoP) Participation: a Case of Research Group Community in Higher Learning Institution

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Authors

Siti Hajar Abdul Razak
Faculty of Computer Science and Information Technology, Information System Department, University Putra Malaysia 43400 UPM, Serdang, Selangor, Malaysia
Zeti Darleena Eri
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia
Rusli Abdullah
Faculty of Computer Science and Information Technology, Information System Department, University Putra Malaysia 43400 UPM, Serdang, Selangor, Malaysia
Masrah Azrifah Azmi Murad
Faculty of Computer Science and Information Technology, Information System Department, University Putra Malaysia 43400 UPM, Serdang, Selangor, Malaysia

Abstract


The increasing number of Virtual Communities of Practice (VCoP) leads to the needs of having an ontological model in mapping new members (new researchers) to their relevant Research Group(s) especially in Higher Learning Institution. This paper proposes a new model of ontology of Virtual Community of Practice (VCoP) called Ontology-based VCoP (Onto-VCoP) that can help new member of researcher to identify themselves for the suitability of joining research groups efficiently. The efficiency of our model is based on mapping technique that was adopted from Ehrig and Staab [1] Quick Ontology Mapping (QOM). Onto-VCoP model applied ontology to represent knowledge and QOM to map data between new researchers and research groups. Systematically reviewed for literature and pre-survey is done to get the user requirement and to support objective of this paper. The result shows Onto-VCoP model may help new researchers to identify research groups based on their research interest efficiently.

Keywords


Virtual Communities of Practice, Ontology, Quick Ontology Mapping, Research, Research Group, High Learning Institution

References





DOI: https://doi.org/10.17485/ijst%2F2013%2Fv6i10%2F38781