Hamid Slimani
ABSTRACT
In today's world, information seekers are confronted with a large volume of very heterogeneous and varied data combined with the multilingual, which makes it difficult to find the most relevant digital educational resource that meets the user's needs. These needs are expressed by a query, generally based on keywords. This observation prompted the researchers to exploit other techniques and methods, among which there is the semantic web. In this paper, we propose a bayesian networks-based recommendation system which represents a recommendation activity. Our goal is to propose an approach to the semantic recommendation of digital resources after each query submitted by the user, by means of SPARQL queries that searches in the Linking Open Data (LOD) cloud.
- Hendrik Drachsler, Katrien Verbert, Olga C Santos, and Nikos Manouselis. Panorama of recommender systems to support learning. In Recommender systems handbook, pages 421--451. Springer, 2015.Google Scholar
Cross Ref
- Gilbert Paquette and Alexis Miara. Managing open educational resources on the web of data. (IJACSA) International Journal of Advanced Computer Science and Applications, 5(8), 2014.Google Scholar
- Constanta-Nicoleta Bodea, Maria-Iuliana Dascalu, and Adina Lipai. Clustering of the web search results in educational recommender systems. In Educational Recommender Systems and Technologies: Practices and Challenges, pages 154--181. IGI Global, 2012.Google ScholarCross Ref
- Alicia Díaz, Regina Motz, Edelweis Rohrer, and Libertad Tansini. An ontology network for educational recommender systems. In Educational Recommender Systems and Technologies: Practices and Challenges, pages 67--93. IGI Global, 2012.Google ScholarCross Ref
- Tania Kerkiri, Athanassios Manitsaris, and Ioannis Mavridis. How e-learning systems may benefit from ontologies and recommendation methods to efficiently personalise resources. International Journal of Knowledge and Learning, 5(3-4): 347--370, 2009.Google ScholarCross Ref
- Yuanyuan Wang and Kazutoshi Sumiya. Semantic ranking of lecture slides based on conceptual relationship and presentational structure. Procedia Computer Science, 1(2):2801--2810, 2010.Google ScholarCross Ref
- Abele Andrejs, John P. McCrae, Paul Buitelaar, Anja Jentzsch, and Richard Cyganiak. Linking open data cloud diagram 2017, 2017. URL http://lod-cloud.net/.Google Scholar
- Hamid Slimani, Nour-eddine El Faddouli, Mohamed Idrissi Khalidi, and Samir Bennani. Sharing the digital pedagogical resources among institutions of higher education in morocco. In Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in, pages 266--271. IEEE, 2014.Google ScholarCross Ref
- Hamid Slimani, Nou-eddine El Faddouli, Rachid Benslimane, and Samir Bennani. Personalized search and recommendation in a digital educational resources repository: the case of ori-oai. In Information Science and Technology (CiSt), 2016 4th IEEE International Colloquium on, pages 541--546. IEEE, 2016.Google ScholarCross Ref
- Tim Berners-Lee, James Hendler, and Ora Lassila. The semantic web. Scientific american, 284(5):34--43, 2001.Google ScholarCross Ref
- PHAN Quang Trung Tien. Ontologies et web services. Travail d'intérêt personnel encadré, Institut de la Francophonie pour l'Informatique, 2005.Google Scholar
- John Domingue, Dieter Fensel, and James A. Hendler. Handbook of Semantic Web Technologies. Springer-Verlag Berlin Heidelberg, 1st edition, 2011. ISBN 978-3-540-92912-3. (book). Google ScholarDigital Library
- Dean Allemang and Jim Hendler. Semantic Web for the Working Ontologist -- Effective Modeling in RDFS and OWL. Springer-Verlag Berlin Heidelberg, Amsterdam, 2nd edition, 2011. ISBN 978-0-12-385965-5. (book). Google ScholarDigital Library
- Abdelladim Hadaoui, Samir Bennani, and Mohammed khalidi Idrissi. An ontological extraction framework of the actors' pedagogical knowledge. Journal of Theoretical and Applied Information Technology, 93(1):69--80, 2016.Google Scholar
- Patrice Buche. Les langages du Web Sémantique, 2007. Cours, Département Mathématique et Informatique Appliquées INRA, unité Mét@risk UFR Informatique d'AgroParisTech.Google Scholar
- Hamid Slimani, Nour-eddine El Faddouli, Rachid Benslimane, and Samir Bennani. The normalization of the indexation of digital educational resources for higher education among the arab countries: the case of moroccan application profile. International Journal of Information Technology & Computer Science (IJITCS)(http://www. ijitcs. com)(ISSN: 2091-1610) on volume, (22), 2015.Google Scholar
- Gilles Gauthier. Semantic web and metadata - international norm iso / iec 19788 metadata for learning resources (mlr), November 2th 2012. URL https://www.milieuxdoc.ca/cm2s_content/_milieux-documentaire/document/milieux-documentaires-1355504552-Atelier-31-Web-s-mantique-et-m-tadonn-es.pdf.Google Scholar
- Iso-mlr iso-iec 19788 information technoogy -- learning, education and training -- metatda for learning resources multipart standard, 28-Nov-2014. URL http://en.wikipedia.org/wiki/ISO/IEC_19788.Google Scholar
- Iso-mlr iso-iec 19788 information technoogy -- learning, education and training -- metatda for learning resources multipart standard, 15-01-2011. 55p.Google Scholar
- The world wide web consortium (w3c). URL http://www.w3.org.Google Scholar
- Saadia Lgarch, Mohamed Idrissi Khalidi, and Samir Bennani. A selection algorithm of terms from owl ontology for semantically classify messages. International Journal of Engineering Science and Technology, 2(11):6788--6800, 2010.Google Scholar
- Stefan Dietze, Hendrik Drachsler, and Daniela Giordano. A survey on linked data and the social web as facilitators for tel recommender systems. In Recommender systems for technology enhanced learning, pages 47--75. Springer, 2014.Google ScholarCross Ref
- Tom Heath and Christian Bizer. Linked data: Evolving the web into a global data space. Synthesis lectures on the semantic web: theory and technology, 1(1):1--136, 2011. Google ScholarDigital Library
- Andrejs Abele, John P. McCrae, Paul Buitelaar, Anja Jentzsch, and Richard Cyganiak. Linking open data cloud diagram 2017, 2017. URL http://lod-cloud.net/.Google Scholar
- State of the lod cloud 2014, 2014. URL http://linkeddatacatalog.dws.informatik.uni-mannheim.de/state/.Google Scholar
- Hamid Slimani, Nour-eddine El Faddouli, Samir Bennani, and Naila Amrous. Models of digital educational resources indexing and dynamic user profile evolution. International Journal of Emerging Technologies in Learning (iJET), 11(01): 26--32, 2016.Google Scholar
- Uri Hanani, Bracha Shapira, and Peretz Shoval. Information filtering: Overview of issues, research and systems. User modeling and user-adapted interaction, 11 (3):203--259, 2001. Google ScholarDigital Library
- Nikos Manouselis and Constantina Costopoulou. Experimental analysis of design choices in multiattribute utility collaborative filtering. International Journal of Pattern Recognition and Artificial Intelligence, 21(02):311--331, 2007.Google ScholarCross Ref
- Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, and Erik Duval. Recommender systems for learning. Springer Science & Business Media, 2012. Google ScholarDigital Library
- Judea Pearl. Probabilistic reasoning in intelligent systems: networks of plausible inference. Elsevier, 2014.Google Scholar
- Howard Turtle and W Bruce Croft. Evaluation of an inference network-based retrieval model. ACM Transactions on Information Systems (TOIS), 9(3):187--222, 1991. Google ScholarDigital Library
- Gerard Salton and Christopher Buckley. Term-weighting approaches in automatic text retrieval. Information processing & management, 24(5):513--523, 1988. Google ScholarDigital Library
Index Terms
- Semantic recommendation system of digital educational resources
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