Sawsaa, Ahlam and Lu, Joan (2011) ONTOCOP: Virtual Community Of Practice to build Ontology of Information Science. In: International Conference on Education and Learning in Mobile Age 2011, 1-2 June 2011, Lake District, UK.
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Purpose: To visualis the knowledge of the Information Science (IS) domain.
Implementation of the ontology of (IS) has a huge impact in many areas for instance,
for people and agents when they collaborate and working as a team project
with the differences of their experience and opinions. Furthermore, it is a key
element for scholars to gain consistent information in a specific domain..
Aims & Objectives: Of this study is to provide a visualisation of area that
is shared by members of VCops, by describing the terminology and conceptual
model of Information Science.
Design/methodology/approach: Building a new ontology requires
conceptualisation, requirements analysis, formalisation, implementation, maintaining
Research limitations:The research focuses only on virtual communities of
practice of around the world. The research conducted to share knowledge between
bodies of professionals in the domain of Information science.
Practical implications: The results will provide support for the recent efforts
for knowledge base systems. Also Ontology is not just for knowledge based
systems, but it can be used for software systems as a model of words. Hence, it
supports semantic web to leverage the research retrieval.
Findings: The OntoCop website is designed to support groups to interact, it
contains tools to enable participations communicate effectively as Forum, chatting
Originality/Value: Creating ontology of Information Science based on the
knowledge transferring tacit knowledge between peer to peer. Furthermore , it will
be machine readable by OWL language.
Keywords: Communities of practice, knowledge mapping , ontology, knowledge
management, virtual community of practice, knowledge representation,
|Item Type:||Conference or Workshop Item (Poster)|
|Subjects:||Q Science > QA Mathematics > QA76 Computer software|
|Schools:||School of Computing and Engineering|
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
|Depositing User:||Ahlam Sawsaa|
|Date Deposited:||23 Feb 2012 15:05|
|Last Modified:||04 Jun 2013 12:11|
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