Semantic Models in Web based Educational System Integration

Web based e-Education systems are an important kind of information systems that benefited from Web standards for implementation, deployment and integration. In this paper we propose and evaluate a semantic Web approach to support the features and interoperability of a real industrial e-Education system in production. We show how ontology-based knowledge representation supports the required features, their extension to new ones and the integration of external resources (e.g. official standards) as well as the interoperability with other systems. We designed and implemented a proof of concept in an industrial context that was qualitatively and quantitatively evaluated and we benchmarked different alternatives on real data and real queries. We present a complete evaluation of the quality of service and response time in this industrial context and we show that on a real-world tesbed Semantic Web based solutions can meet the industrial requirements, both in terms of functionalities and efficiency compared to existing operational solutions. We also show that an ontology-oriented modelling opens up new opportunities of advanced functionalities supporting resource recommendation and adaptive learning.

[1]  Chen Fei,et al.  OntoEdu : A Case Study of Ontology-based Education Grid System for E-Learning , 2004 .

[2]  Yas A. Alsultanny,et al.  E-Learning System Overview Based on Semantic Web. , 2006 .

[3]  Antonio Fernández-Caballero,et al.  Domain Ontology for Personalized E-Learning in Educational Systems , 2006, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06).

[4]  Laurent Jaffro.  Les objets de l'éducation : quelle ontologie ? , 2007 .

[5]  Hugo Minni,et al.  Identifier management and resolution: conforming the IEEE standard for learning object metadata , 2008 .

[6]  Martin Kuiper,et al.  Benchmarking Triple Stores with Biological Data , 2010, SWAT4LS.

[7]  Pablo de la Fuente,et al.  An Empirical Study of Real-World SPARQL Queries , 2011, ArXiv.

[8]  Mickaël Baron,et al.  OntoDBench: Novel Benchmarking System for Ontology-Based Databases , 2012, OTM Conferences.

[9]  Hyun-Sook Chung,et al.  Ontology Design for Creating Adaptive Learning Path in e-Learning Environment , 2012 .

[10]  Zuohua Ding,et al.  Performance Analysis of Web Applications Based on User Navigation , 2012 .

[11]  Maha M. Al-Yahya,et al.  CURONTO: an ontological model for curriculum representation , 2013, ITiCSE '13.

[12]  Jung-Min Kim,et al.  Semantic Model of Syllabus and Learning Ontology for Intelligent Learning System , 2014, ICCCI.

[13]  Jean-Claude Moissinac,et al.  Curriculum data enrichment with ontologies , 2014, WIMS '14.

[14]  Hongyan Wu,et al.  BioBenchmark Toyama 2012: an evaluation of the performance of triple stores on biological data , 2014, J. Biomed. Semant..

[15]  Saudi Arabia,et al.  Ontologies in E-Learning: Review of the Literature , 2015 .

[16]  Catherine Faron-Zucker,et al.  A Formalization of the French Elementary School Curricula , 2016, EKAW.

[17]  Rijwan Khan,et al.  Performance testing (load) of web applications based on test case management , 2016 .

[18]  Om Prakash Vyas,et al.  An ontological learning management system , 2016, Comput. Appl. Eng. Educ..