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Title:
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A KNOWLEDGE-BASED APPROACH FOR COMPUTATIONAL CULTURAL DYNAMICS ON THE SEMANTIC WEB |
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Author(s):
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Azleena Mohd Kassim , Yu-n Cheah |
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ISBN:
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978-972-8924-97-3 |
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Editors:
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Hans Weghorn and Pedro Isaías |
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Year:
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2009 |
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Edition:
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V II, 2 |
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Keywords:
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Computational Cultural Dynamics, Semantic Web, Social Network Analysis. |
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Type:
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Reflection Paper |
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First Page:
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317 |
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Last Page:
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320 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Knowledge engineering, data mining, artificial intelligence, and other similar technologies are popularly used to gather
and manipulate data related to social sciences to be later applied in different settings. Computational cultural dynamics
(CCD) in general is a field that involves both social factors and computer technology. Coalition formation in particular,
can be regarded as an approach within CCD that focuses on group formation strategies. The main motivation to perform
coalition formation is that a specified goal is better accomplished by a group rather than by an individual. Current
coalition formation methods however have limitations in view that the chain of knowledge that is created and the role of
cohesion are often overlooked during the coalition formation process. This paper aims to design a knowledge-based CCD
approach with the goal of forming a collaborative team. For this purpose, semantic web is chosen to facilitate the
representation of knowledge while social network analysis (SNA) is carried out to study the social factors. A knowledgebased
CCD framework is presented, showing the components and functionalities that have been laid out to help generate
an optimum coalition. |
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