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Towards Keyword-Based Search over Environmental Data Sources

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Semantic Keyword-Based Search on Structured Data Sources (IKC 2017)

Abstract

This paper describes the problem of keyword-based search over environmental data sources. Based on a number of assumptions that simplify this general problem, a prototype of a search engine for environmental data was designed, implemented and evaluated. This first solution serves as a proof of concept that illustrates its applicability in different domains, for both expert and non-expert users. The requirements analysis undertaken and the subsequent design and implementation helped in the identification of a number of new research challenges.

This article is based upon work from COST Action KEYSTONE IC1302, supported by COST (European Cooperation in Science and Technology).

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Notes

  1. 1.

    https://books.google.com/ https://www.hathitrust.org/.

  2. 2.

    http://www.opengeospatial.org/standards/cat.

  3. 3.

    http://www.unidata.ucar.edu/software/thredds/current/tds/catalog/InvCatalogSpec.html.

  4. 4.

    http://www.opengeospatial.org/standards/om.

  5. 5.

    http://www.intecmar.gal/.

  6. 6.

    https://www.iso.org/standard/31368.html.

  7. 7.

    https://www.w3.org/TR/xpath-full-text-10/.

  8. 8.

    https://www.iso.org/standard/53798.html.

  9. 9.

    http://www.opengeospatial.org/standards/cat. http://www.unidata.ucar.edu/software/thredds/current/tds/catalog/InvCatalogSpec.html.

  10. 10.

    http://www.opengeospatial.org/standards/wfs.

  11. 11.

    http://www.unidata.ucar.edu/software/thredds/current/tds/reference/NetcdfSubsetServiceReference.html.

  12. 12.

    http://geoserver.org/.

  13. 13.

    http://www.unidata.ucar.edu/software/thredds/current/tds/.

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Correspondence to José R. R. Viqueira .

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Álvarez-Castro, D., Viqueira, J.R.R., Bugarín, A. (2018). Towards Keyword-Based Search over Environmental Data Sources. In: Szymański, J., Velegrakis, Y. (eds) Semantic Keyword-Based Search on Structured Data Sources. IKC 2017. Lecture Notes in Computer Science(), vol 10546. Springer, Cham. https://doi.org/10.1007/978-3-319-74497-1_10

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  • DOI: https://doi.org/10.1007/978-3-319-74497-1_10

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-74497-1

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