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Subject Classification with DITA Markup for Agricultural Learning Resources: A Case Example in Agroforestry

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Metadata and Semantic Research (MTSR 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 240))

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Abstract

Technical documentation and training materials are important elements in helping to accelerate the use and impact of agricultural research for development. The creation and delivery of these resources can be enhanced through content enrichment and the production and reuse of modular components. This process can be further improved by integrating rich semantic descriptions with resource metadata and domain-specific markup combined with the consistent use of controlled vocabulary. The Darwin Information Typing Architecture (DITA) supports both the integration of metadata as well as markup for technical as well as learning and training content. DITA also includes mechanisms for adding the semantics of taxonomy and ontology definitions for classifying content. This paper explores the potential use of enriching agroforestry learning resources with DITA markup through descriptive metadata and subject classification.

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Author information

Authors and Affiliations

  1. World Agroforestry Centre, P.O. Box 30677, Nairobi, 00100, Kenya

    Thomas Zschocke

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  1. Thomas Zschocke
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Editors and Affiliations

  1. Information Engineering Research Unit Computer Science Dept., University of Alcalá Ctra., Barcelona km. 33.6, Alcalá de Henares, 28871, Madrid, Spain

    Elena García-Barriocanal

  2. Faculty of Agriculture, University of Cukurova, Balcalı, Adana, Turkey

    Zeynel Cebeci

  3. Department of Computer Engineering, Yasar University, Bornova, Izmir, Turkey

    Mehmet C. Okur  & Aydın Öztürk  & 

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Zschocke, T. (2011). Subject Classification with DITA Markup for Agricultural Learning Resources: A Case Example in Agroforestry. In: García-Barriocanal, E., Cebeci, Z., Okur, M.C., Öztürk, A. (eds) Metadata and Semantic Research. MTSR 2011. Communications in Computer and Information Science, vol 240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24731-6_49

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  • DOI: https://doi.org/10.1007/978-3-642-24731-6_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24730-9

  • Online ISBN: 978-3-642-24731-6

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