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A reference ontology for profiling scholar's background knowledge in recommender systems

Amini, Bahram and Ibrahim, Roliana and Othman, Mohd. Shahizan and Nematbakhsh, Mohammadali (2015) A reference ontology for profiling scholar's background knowledge in recommender systems. Expert Systems with Applications, 42 (2). pp. 913-928. ISSN 0957-4174

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Official URL: http://dx.doi.org/10.1016/j.eswa.2014.08.031

Abstract

The profiling of background knowledge is essential in scholar's recommender systems. Existing ontology-based profiling approaches employ a pre-built reference ontology as a backbone structure for representing the scholar's preferences. However, such singular reference ontologies lack sufficient ontological concepts and are unable to represent the hierarchical structure of scholars' knowledge. They rather encompass general-purpose topics of the domain and are inaccurate in representing the scholars' knowledge. This paper proposes a method for integrating of multiple domain taxonomies to build a reference ontology, and exploits this reference ontology for profiling scholars' background knowledge. In our approach, various topics of Computer Science domain from Web taxonomies are selected, transformed by DBpedia, and merged to construct a reference ontology. We demonstrate the effectiveness of our approach by measuring five quality-based metrics as well as application-based evaluation against the developed reference ontology. The empirical results show an improvement over the existing reference ontologies in terms of completeness, richness, and coverage.

Item Type:Article
Uncontrolled Keywords:ontology, profiling
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:55876
Deposited By: Practical Student
Deposited On:12 Oct 2016 06:58
Last Modified:12 Oct 2016 06:58

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