Adapting Keyword Recommendation Approach to Folksonomies in Edu-AREA Using Hierarchical Classification
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Abstract
Information and Communications Technology in e-learning domain is immensely growing which creates a new path to the development of Web applications supporting the reuse of Open Educational Resources in a collaborative environment. Current web offers various options to keep content and even generate it. The enhancement of Web 2.0 to Semantic Web brings innumerable applications and solutions to society. Edu-AREA is such a kind of Web 2.0 application focusing to provide teaching innovatively. Edu-AREA serves as referatory allowing users to register various resources, containing metadata and refers to them which are available in the external system. At the present stage of Edu-AREA enlargement, problem in managing the organization and classification of information, contributed by users is faced. To resolve this problem a Keyword Recommendation approach to folksonomies is proposed. As Folksonomy is a flat system, to provide a better implementation of folksonomy in Edu-AREA, this paper proposes a non-flat systematic and ontologically semantic structured folksonomy approach that can be processed with an efficient recommendation method and the recommended keywords are generated which are further applied with hierarchical classification technique applying C5.0 algorithm and highly relevant keywords are recommend for tagging the folksonomies in Edu-AREA.
Keywords:C5.0, Edu-AREA, Folksonomy, Hierarchical Classification, Ontology, Keyword Recommendation Method
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