Domain specific ontology enrichment using public knowledge resources (original) (raw)

2016

Abstract

Semantic web technology can influence the next generation of eLearning systems and applications. Ontology as a major component of semantic web can be used in creating metadata for eLearning resources to improve adaptive eLearning systems. This paper presents an approach to automatically enrich eLearning domain ontology based on the integration of graph clustering techniques and external knowledge resources. The semantic similarity of concepts which is measured using the words hierarchy of WordNet combined with relations of concepts extracted from the Wikipedia graph is applied to link the new eLearning concepts to the domain ontology. The generated ontology as an integrated knowledge of eLearning domain can be used to model educational activities and to build, organize, and update specific learning resources. Explicit representation of eLearning concepts leads to uniform tagging of these resources and improves the results of web services in this domain.

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