ONTOLOGY REASONING USING SPARQL QUERY: A CASE STUDY OF E-LEARNING USAGE

Authors

  • Dewi Octaviani Department of Information Technology, HELP University, Kuala Lumpur, Malaysia
  • Mohd Shahizan Othman Faculty of Computing, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v78.9547

Keywords:

ontology, SPARQL query, ontology reasoning, knowledge representation, e-learning activities and actions

Abstract

The involvement of learning pedagogy towards implementation of e-learning contribute to the additional values, and it is assign as a benchmark when the investigation and evaluation will carry out. The results obtained later believed would be fit to the domain problem.The results might provide instructional theories including recommendation after reasoning that can be used to improve the quality of teaching and learning in the virtual classroom. Ontology as formal conceptualization has been chosen as research methodology. Ontology conceptualization helps to illustrate the e-learning usage including activities and actions, likewise learning pedagogy in the form of concepts, class, relationships and instances. The ontology constructed in this paper is used in conjunction with the SPARQL rules, which are designed to test the reasoning ability of ontology. Reasoning results should be able to describe the knowledge contained in ontology, as well the facts on it. The SPARQL rules contains triplets to verify if the students are actively engaged in a meaningful way towards e-learning usage. The backward engine is optimized to store the facts obtained from queries. Development of ontology knowledge based and reasoning rules with SPARQL queries allow to contribute a sustainable competitive advantages regarding the e-learning utilization. Eventually, this research produced a learning ontology with reasoning capability to get meaningful information.

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Published

2016-08-04

How to Cite

ONTOLOGY REASONING USING SPARQL QUERY: A CASE STUDY OF E-LEARNING USAGE. (2016). Jurnal Teknologi (Sciences & Engineering), 78(8-2). https://doi.org/10.11113/jt.v78.9547