CIAO-WPS - Utilizing Semantic Web (Web 3.0) Techniques to Assist in the Automatic Orchestration of Geospatial Processes and Datasets

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 741)


Current geospatial datasets and web services are disparate, obscure and difficult to expose to the world. With the advent of geospatial processes utilizing temporal data and big data, along with datasets continually increasing in size, the problem of under-exposed datasets and web services is amplified. This paper proposes the integration of Semantic Web concepts and technologies into geospatial datasets and web services, making it possible to link these datasets and services via functionality, the inputs required and the outputs produced. To do so requires the extensive use of metadata to allow for a standardised form of description of their function. This research also visits the concept of using ontologies to store processes. A simple prototype termed CIAO-WPS (Chet’s Intelligent, Automatically-Orchestrated Web Processing Services) is created as a proof of concept, using the Python programming language. The prototype seeks to reinforce ideas in regards to pathing and cost constraints, as well as explore overlooked designs.


Semantic Web Web 3.0 Ontologies Metadata Web Processing Services WPS CIAO-WPS 



The work has been supported by the Cooperative Research Centre for Spatial Information, whose activities are funded by the Business Cooperative Research Centres Program. The work has been supported by the Cooperative Research Centre for Spatial Information, whose activities are funded by the Australian Commonwealth’s Cooperative Research Centres Programme.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Curtin UniversityBentleyAustralia
  2. 2.Cooperative Research Centre for Spatial InformationCarltonAustralia

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