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Information 2018, 9(12), 302; https://doi.org/10.3390/info9120302

Ontology-Based Representation for Accessible OpenCourseWare Systems

1
Institute of Computer Science, University of Bonn, 53115 Bonn, Germany
2
Fraunhofer IAIS, 53757 St. Augustin, Germany
3
Technische Informationsbibliothek (TIB), 30167 Hannover, Germany
This paper is an extended version of our paper published in the Proceedings of the 8th International Conference on Knowledge Engineering and Semantic Web (KESW 2017).
*
Author to whom correspondence should be addressed.
Received: 29 October 2018 / Revised: 23 November 2018 / Accepted: 26 November 2018 / Published: 29 November 2018
(This article belongs to the Special Issue Knowledge Engineering and Semantic Web)
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Abstract

OpenCourseWare (OCW) systems have been established to provide open educational resources that are accessible by anyone, including learners with special accessibility needs and preferences. We need to find a formal and interoperable way to describe these preferences in order to use them in OCW systems and retrieve relevant educational resources. This formal representation should use standard accessibility definitions of OCW that can be reused by other OCW systems to represent accessibility concepts. In this article, we present an ontology to represent the accessibility needs of learners with respect to the IMS AfA specifications. The ontology definitions together with rule-based queries are used to retrieve relevant educational resources. Related to this, we developed a user interface component that enables users to create accessibility profiles representing their individual needs and preferences based on our ontology. We evaluated the approach with five examples profiles. View Full-Text
Keywords: OpenCourseWare; OCW; ACCESSIBLE; IMS AfA; ontologies; web accessibility OpenCourseWare; OCW; ACCESSIBLE; IMS AfA; ontologies; web accessibility
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Elias, M.; Lohmann, S.; Auer, S. Ontology-Based Representation for Accessible OpenCourseWare Systems. Information 2018, 9, 302.

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