IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v22y2020i2d10.1007_s10109-019-00312-3.html
   My bibliography  Save this article

Alignment of surface water ontologies: a comparison of manual and automated approaches

Author

Listed:
  • Michelle Cheatham

    (Wright State University)

  • Dalia Varanka

    (U.S. Geological Survey)

  • Fatima Arauz

    (Wright State University)

  • Lu Zhou

    (Wright State University)

Abstract

Studying the surface water systems of the earth is important for many fields, from biology to agriculture to tourism. Much of the data relevant to surface water systems are stored in isolated repositories that interface with different ontologies, such as the US Geological Survey’s Surface Water Ontology or the Environment Ontology (ENVO). Effectively using these data requires integrating the ontologies so that the data can be seamlessly queried and analyzed. Automated alignment algorithms exist to facilitate this data integration challenge. In this paper we examine the utility of two leading automated alignment systems to integrate four pairs of ontologies from the surface water domain. We show that the performance of such systems in this domain lags behind their results on popular benchmarks, and therefore incorporate the alignment task described here into the set of benchmarks used by the alignment community. We also show that with minor modifications, existing alignment algorithms can be used effectively within a semi-automated system for the surface water domain. In addition, we analyze the unique challenges of this domain with respect to data integration and discuss possible solutions to pursue in order to address these challenges.

Suggested Citation

  • Michelle Cheatham & Dalia Varanka & Fatima Arauz & Lu Zhou, 2020. "Alignment of surface water ontologies: a comparison of manual and automated approaches," Journal of Geographical Systems, Springer, vol. 22(2), pages 267-289, April.
    • Handle: RePEc:kap:jgeosy:v:22:y:2020:i:2:d:10.1007_s10109-019-00312-3
    DOI: 10.1007/s10109-019-00312-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10109-019-00312-3
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10109-019-00312-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sana Chaabane & Wassim Jaziri, 2018. "A novel algorithm for fully automated mapping of geospatial ontologies," Journal of Geographical Systems, Springer, vol. 20(1), pages 85-105, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrés Vallone & Coro Chasco & Beatriz Sánchez, 2020. "Strategies to access web-enabled urban spatial data for socioeconomic research using R functions," Journal of Geographical Systems, Springer, vol. 22(2), pages 217-239, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jgeosy:v:22:y:2020:i:2:d:10.1007_s10109-019-00312-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.