Abstract
Mobile computing is recognized as the new emerging technology to enhance teaching approaches and provide new learning strategies that exploit learners’ contextual information. The context aware in mobile learning could load dynamically information’s form learners and exploit that information’s to provide a personalized user experience according to it context. The main challenge in context-aware M-learning system is context ontologies, it represents the most part for context modeling. In this paper, we propose an ontology-based approach for modeling context-aware in an adaptive mobile learning environment.
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Aziz, A.K., Khoukhi, F.: A design requirements framework for mobile learning environment. Adv. Inf. Technol. Serv. Syst. 208–215 (2018)
Dey, A.K.: Understanding and using context. Pers. Ubiquitous Comput. 5, 4–7 (2001)
Economides, A.A.: Context-aware mobile learning BT - the open knowledge society. a computer science and information systems manifesto. Presented at the Proceedings First World Summit on the Knowledge Society, WSKS 2008, Athens, Greece, 24–26 September 2008
Chen, H., Perich, F., Finin, T., Joshi, A.: SOUPA: standard ontology for ubiquitous and pervasive applications. In: Proceedings of MOBIQUITOUS 2004 - 1st Annual International Conference on Mobile Ubiquitous System Network Service, pp. 258–267 (2004)
Strang, T., Linnhoff-Popien, C.: A context modeling survey. In: Workshop on Advanced Context Modelling, Reasoning and Management at UbiComp 2004 - Sixth International Conference on Ubiquitous Computing Workshop, pp. 1–8 (2004)
Kapitsaki, G.M., Prezerakos, G.N., Tselikas, N.D., Venieris, I.S.: Context-aware service engineering: a survey. J. Syst. Softw. 82, 1285–1297 (2009)
Wang, X.H., Zhang, D.Q., Gu, T., Pung, H.K.: Ontology based context modeling and reasoning using OWL. In: Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Work, pp. 18–22 (2004)
Gómez, S., Zervas, P., Sampson, D.G., Fabregat, R.: Context-aware adaptive and personalized mobile learning delivery supported by UoLmP. J. King Saud Univ. - Comput. Inf. Sci. 26, 47–61 (2014)
Mantovaneli Pessoa, R., Zardo Calvi, C., Pereira Filho, J.G., Guareis de Farias, C.R., Neisse, R.: Semantic context reasoning using ontology based models BT - dependable and adaptable networks and services. Presented at the 13th Open European Summer School and IFIP TC6.6 Workshop, EUNICE 2007, Enschede, The Netherlands, 18–20 July 2007
Gao, Q., Dong, X.: A context-awareness based dynamic personalized hierarchical ontology modeling approach. Procedia Comput. Sci. 94, 380–385 (2016)
Sagaya Priya, K.S., Kalpana, Y.: A review on context modelling techniques in context awarecomputing. Int. J. Eng. Technol. 8, 429–433 (2016)
Krummenacher, R., Strang, T.: Ontology-Based Context Modeling. Ieice Trans. Inf. Syst. E90–D, 1262–1270 (2007)
Hayes, P. (ed): RDF Semantics: W3C Recommendation, 10 February 2004. http://www.w3.org/TR/2004/REC-rdf-mt-20040210/
Gu, T., Pung, H.K., Zhang, D.Q.: A service-oriented middleware for building context-aware services. J. Netw. Comput. Appl. 28, 1–18 (2005)
Chen, H.L.: COBRA : an intelligent broker architecture for pervasive context-aware systems. Interfaces (Providence) 54, 129 (2004)
Jeng, Y.-L., Wu, T.-T., Huang, Y., Tan, Q., Yang, S.J.H.: The add-on impact of mobile applications in learning strategies: a review study. Educ. Technol. Soc. 13, 3–11 (2010)
Kumar, K., Saravanaguru, R.A.K.: Formalizing context aware requirement patterns using ontology. J. Teknol. 78, 13–19 (2016)
International Standards Organization: ISO 8601:2004(E) Data elements and interchange formats - Information interchange - Representation of dates and times (2004)
Pan, F., Hobbs, J.R.: Time in owl-s. In: Proceedings of AAAI Spring Symposium Semantic Web Service, pp. 29–36 (2004)
Allen, J.F., Ferguson, G.: Actions and events in interval temporal logic. J. Log. Comput. (1994)
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Aziz, A., Khoukhi, F. (2019). Context-Aware that Performs Adaptation in Mobile Learning. In: Khoukhi, F., Bahaj, M., Ezziyyani, M. (eds) Smart Data and Computational Intelligence. AIT2S 2018. Lecture Notes in Networks and Systems, vol 66. Springer, Cham. https://doi.org/10.1007/978-3-030-11914-0_16
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DOI: https://doi.org/10.1007/978-3-030-11914-0_16
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