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Reseach Article

An Integrated Approach to Support Knowledge Representation, Sharing and Perception over Web2.0

by Iyad Al Agha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 9
Year of Publication: 2014
Authors: Iyad Al Agha
10.5120/17034-7335

Iyad Al Agha . An Integrated Approach to Support Knowledge Representation, Sharing and Perception over Web2.0. International Journal of Computer Applications. 97, 9 ( July 2014), 15-24. DOI=10.5120/17034-7335

@article{ 10.5120/17034-7335,
author = { Iyad Al Agha },
title = { An Integrated Approach to Support Knowledge Representation, Sharing and Perception over Web2.0 },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 9 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 15-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number9/17034-7335/ },
doi = { 10.5120/17034-7335 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:38.859078+05:30
%A Iyad Al Agha
%T An Integrated Approach to Support Knowledge Representation, Sharing and Perception over Web2.0
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 9
%P 15-24
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web 2. 0 technologies provide the communication medium which allows collaborators to share and communicate ideas. These technologies, however, exhibit limited support for knowledge transfer which is more than a communication problem. It is still unclear how people can communicate, over the Web 2. 0, cognitive activities which they undertake during the knowledge acquisition process. In this work, we present an integrated approach for knowledge sharing that addresses the needs of both knowledge providers and recipients. It combines both concept mapping and dynamic annotation to enable for effective construction and perception of knowledge. The approach begins by helping knowledge providers visualize their own experience using a tool we named "MindGate". Afterwards, an Ontology-based model is used to convert the visual representation of knowledge to a machine-readable format. This format can then be published and reused by Internet users through a prototype social network called "SocialMinds". We have tested our approach with three research students who used our approach to carry out research tasks. The analysis of user behavior, activity and tool usage proved the potential of our approach to facilitate knowledge sharing and support both individual and group work.

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Index Terms

Computer Science
Information Sciences

Keywords

Knowledge representation Semantic Web Ontology Collaborative Learning