Using Linked Data to Annotate and Search Educational Video Resources for Supporting Distance Learning
Issue No. 02 - Second (2012 vol. 5)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TLT.2012.1
Hong Qing Yu , Knowledge Media Inst., Open Univ., Milton Keynes, UK
C. Pedrinaci , Knowledge Media Inst., Open Univ., Milton Keynes, UK
S. Dietze , L3S Res. Center, Leibniz Univ., Hannover, Germany
J. Domingue , Knowledge Media Inst., Open Univ., Milton Keynes, UK
Multimedia educational resources play an important role in education, particularly for distance learning environments. With the rapid growth of the multimedia web, large numbers of educational video resources are increasingly being created by several different organizations. It is crucial to explore, share, reuse, and link these educational resources for better e-learning experiences. Most of the video resources are currently annotated in an isolated way, which means that they lack semantic connections. Thus, providing the facilities for annotating these video resources is highly demanded. These facilities create the semantic connections among video resources and allow their metadata to be understood globally. Adopting Linked Data technology, this paper introduces a video annotation and browser platform with two online tools: Annomation and SugarTube. Annomation enables users to semantically annotate video resources using vocabularies defined in the Linked Data cloud. SugarTube allows users to browse semantically linked educational video resources with enhanced web information from different online resources. In the prototype development, the platform uses existing video resources for the history courses from the Open University (United Kingdom). The result of the initial development demonstrates the benefits of applying Linked Data technology in the aspects of reusability, scalability, and extensibility.
Vocabulary, Ontologies, Semantics, Streaming media, Resource description framework, Mood, web services., Distance learning, e-learning, educational video resources, Semantic Web, linked data, semantic annotation, semantic search
J. Domingue, S. Dietze, C. Pedrinaci and Hong Qing Yu, "Using Linked Data to Annotate and Search Educational Video Resources for Supporting Distance Learning," in IEEE Transactions on Learning Technologies, vol. 5, no. , pp. 130-142, 2012.