Multi-Agent Planning for Automatic Geospatial Web Service Composition in Geoportals

Research output: Contribution to journalArticle

Abstract

Automatic composition of geospatial web services increases the possibility of taking full advantage of spatial data and processing capabilities that have been published over the internet. In this paper, a multi-agent artificial intelligence (AI) planning solution was proposed, which works within the geoportal architecture and enables the geoportal to compose semantically annotated Open Geospatial Consortium (OGC) Web Services based on users’ requirements. In this solution, the registered Catalogue Service for Web (CSW) services in the geoportal along with a composition coordinator component interact together to synthesize Open Geospatial Consortium Web Services (OWSs) and generate the composition workflow. A prototype geoportal was developed, a case study of evacuation sheltering was implemented to illustrate the functionality of the algorithm, and a simulation environment, including one hundred simulated OWSs and five CSW services, was used to test the performance of the solution in a more complex circumstance. The prototype geoportal was able to generate the composite web service, based on the requested goals of the user. Additionally, in the simulation environment, while the execution time of the composition with two CSW service nodes was 20 s, the addition of new CSW nodes reduced the composition time exponentially, so that with five CSW nodes the execution time reduced to 0.3 s. Results showed that due to the utilization of the computational power of CSW services, the solution was fast, horizontally scalable, and less vulnerable to the exponential growth in the search space of the AI planning problem.

Details

Authors
Organisations
External organisations
  • K. N. Toosi University of Technology
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Physical Geography
  • Geosciences, Multidisciplinary

Keywords

  • multi-agent artificial intelligence (AI) planning, automatic web service composition, OGC web service, semantic web, geoportal
Original languageEnglish
Article number404
Number of pages20
JournalISPRS International Journal of Geo-Information
Volume7
Issue number10
Publication statusPublished - 2018 Oct 12
Publication categoryResearch
Peer-reviewedYes