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The Onto-CropBase – A Semantic Web Application for Querying Crops Linked-Data

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Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery (BDAS 2015, BDAS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 613))

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Abstract

The lack of formal technical knowledge has been identified as one of the constraints to research and development on a group of crops collectively referred to as underutilized crops. Some information about these crops is available in informal sources on the web, for example on Wikipedia. However, this knowledge is not entirely authoritative, it may be incomplete and/or inconsistent and for these reasons it is not suitable as a basis of decision making by crop growers. Alternatively, we present an ontology-driven tool as a web-based access point for underutilized-crops ontology model. Major discussion points in this paper highlight our design choices, the tool implementation and a preliminary validation of the tool with brief discussion of related developments.

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Notes

  1. 1.

    http://protege.stanford.edu/.

  2. 2.

    http://www.cropsforthefuture.org/.

  3. 3.

    http://www.oracle.com/technetwork/Java/javaee/overview/index.html.

  4. 4.

    https://developers.google.com/maps/documentation/javascript/.

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Acknowledgement

This work is partially supported by a CFFRCPLUS CropBase PhD scholarship scheme.

Author information

Authors and Affiliations

  1. School of Computer Science, The University of Nottingham Malaysia Campus, Semenyih, Malaysia

    Abba Lawan & Abdur Rakib

  2. School of Computer Science, The University of Nottingham, Nottingham, UK

    Natasha Alechina

  3. Crops For the Future Research Centre (CFFRC), Semenyih, Malaysia

    Asha Karunaratne

Authors
  1. Abba Lawan
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  2. Abdur Rakib
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  3. Natasha Alechina
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  4. Asha Karunaratne
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Corresponding author

Correspondence to Abdur Rakib .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa

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Lawan, A., Rakib, A., Alechina, N., Karunaratne, A. (2016). The Onto-CropBase – A Semantic Web Application for Querying Crops Linked-Data. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery. BDAS BDAS 2015 2016. Communications in Computer and Information Science, vol 613. Springer, Cham. https://doi.org/10.1007/978-3-319-34099-9_30

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  • DOI: https://doi.org/10.1007/978-3-319-34099-9_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-34098-2

  • Online ISBN: 978-3-319-34099-9

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