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A Semantic Recommender System for iDTV Based on Educational Competencies

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Applications and Usability of Interactive TV (jAUTI 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 689))

Abstract

Interactive Digital Television (iDTV) provides a large amount of educational programs useful for supporting students’ learning and teaching processes. Nevertheless, despite the continuous growth of the number of available contents, it is hard to find those which can be useful for a specific educational purpose. In order to provide a solution to this issue, in this paper we propose a model of a semantic Recommender System for educational iDTV programs, in which, the concept of competency and its features have been integrated as contextual information to enhance both the user and program information. Thus, we can establish filtering strategies in accordance with educational requirements. Furthermore, this proposal incorporates ontology-based filtering to enhance the inference capacity of another approaches, such as, content-based, collaborative, and syntactic matching.

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Acknowledgements

This work is supported by the National Doctorates program, call with reference number 617-2013 of Colciencias, the UsabiliTV project supported by Colciencias with ID 1103 521 2846 and the Asociación Universitaria Iberoamericana de Postgrado (AUIP). Also, this work is partially supported by the Government of Spain, contract TIN2015-67149-C3-1R and the RedAUTI project (Red temática en Aplicaciones y Usabilidad de la Television Digital Interactiva), CYTED 512RT0461.

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Authors and Affiliations

  1. Universidad del Cauca, Cll. 5 #4-70, Popayan, Colombia

    Diego Duran & Jose Luis Arciniegas

  2. Institución Universitaria Colegio Mayor del Cauca, Cra. 7 #2-34, Popayan, Colombia

    Gabriel Chanchí

  3. Universidad de Zaragoza, María de Luna 1, 50018, Saragossa, Spain

    Sandra Baldassarri

Authors
  1. Diego Duran
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  2. Gabriel Chanchí
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  3. Jose Luis Arciniegas
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  4. Sandra Baldassarri
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Corresponding author

Correspondence to Diego Duran .

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Editors and Affiliations

  1. National University of La Plata, Buenos Aires, Argentina

    María José Abásolo

  2. University of Aveiro, Aveiro, Portugal

    Pedro Almeida

  3. Faculty of Informatics, Higher Polytechnic Institute, Havana, Cuba

    Joaquín Pina Amargós

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Duran, D., Chanchí, G., Arciniegas, J.L., Baldassarri, S. (2017). A Semantic Recommender System for iDTV Based on Educational Competencies. In: Abásolo, M., Almeida, P., Pina Amargós, J. (eds) Applications and Usability of Interactive TV. jAUTI 2016. Communications in Computer and Information Science, vol 689. Springer, Cham. https://doi.org/10.1007/978-3-319-63321-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-63321-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63320-6

  • Online ISBN: 978-3-319-63321-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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