Ontology reasoning using SPARQL query: A case study of e-learning usage

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 instru...

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Main Authors: Octaviani, D., Othman, M. S.
Format: Article
Language:English
Published: Penerbit UTM Press 2016
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Online Access:http://eprints.utm.my/id/eprint/70110/1/DewiOctaviani2016_OntologyReasoningUsingSparqlQuery.pdf
http://eprints.utm.my/id/eprint/70110/
http://dx.doi.org/10.11113/jt.v78.9547
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spelling my.utm.701102017-11-22T00:45:14Z http://eprints.utm.my/id/eprint/70110/ Ontology reasoning using SPARQL query: A case study of e-learning usage Octaviani, D. Othman, M. S. QA75 Electronic computers. Computer science 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. Penerbit UTM Press 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/70110/1/DewiOctaviani2016_OntologyReasoningUsingSparqlQuery.pdf Octaviani, D. and Othman, M. S. (2016) Ontology reasoning using SPARQL query: A case study of e-learning usage. Jurnal Teknologi, 78 (8-2). pp. 95-105. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v78.9547 DOI:10.11113/jt.v78.9547
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Octaviani, D.
Othman, M. S.
Ontology reasoning using SPARQL query: A case study of e-learning usage
description 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.
format Article
author Octaviani, D.
Othman, M. S.
author_facet Octaviani, D.
Othman, M. S.
author_sort Octaviani, D.
title Ontology reasoning using SPARQL query: A case study of e-learning usage
title_short Ontology reasoning using SPARQL query: A case study of e-learning usage
title_full Ontology reasoning using SPARQL query: A case study of e-learning usage
title_fullStr Ontology reasoning using SPARQL query: A case study of e-learning usage
title_full_unstemmed Ontology reasoning using SPARQL query: A case study of e-learning usage
title_sort ontology reasoning using sparql query: a case study of e-learning usage
publisher Penerbit UTM Press
publishDate 2016
url http://eprints.utm.my/id/eprint/70110/1/DewiOctaviani2016_OntologyReasoningUsingSparqlQuery.pdf
http://eprints.utm.my/id/eprint/70110/
http://dx.doi.org/10.11113/jt.v78.9547
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score 13.18916