Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Empirical Investigation of GIS Interoperability Best Practices In Industry

Version 1 : Received: 17 August 2018 / Approved: 18 August 2018 / Online: 18 August 2018 (05:38:06 CEST)

How to cite: Mazimwe, A.; Hammouda, I.; Gidudu, A. An Empirical Investigation of GIS Interoperability Best Practices In Industry. Preprints 2018, 2018080320. https://doi.org/10.20944/preprints201808.0320.v1 Mazimwe, A.; Hammouda, I.; Gidudu, A. An Empirical Investigation of GIS Interoperability Best Practices In Industry. Preprints 2018, 2018080320. https://doi.org/10.20944/preprints201808.0320.v1

Abstract

Reuse of patterns is a self-evident approach for managing interoperability concerns. Although patterns for resolving interoperability barriers exist in the literature, no study exists on adoption of interoperability patterns by Geographic Information Systems (GIS) practitioners in industry. Thus there is limited understanding of pattern re-usability, yet the advantages offered by interoperability patterns provide a reasonably sound justification for their usage. This paper examines the adoption of proven interoperability best practices in the GIS industry. An empirical study that involved the use of semi-structured interviews was employed to gather data from GIS developers on domain interoperability best practices. Results indicated that industry and communities of practice have been converging on the technical level to ensure interoperability of GIS concerns. Semantic interoperability and related patterns are least understood, yet semantic barriers still exist. This is partly due to the complexity associated with the top-down approach used to develop semantic interoperability solutions. Therefore, this study proposes research into resolving barriers in the adoption of interoperability patterns that reduce complexity while solving semantic interoperability barriers.

Keywords

re-usability; patterns; interoperability; geographic information systems

Subject

Environmental and Earth Sciences, Remote Sensing

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.