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Ali Mansourian

Professor

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

Författare

  • Mahdi Farnaghi
  • Ali Mansourian

Summary, in English

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.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap
  • MECW: The Middle East in the Contemporary World
  • Middle Eastern Studies

Publiceringsår

2018-10-12

Språk

Engelska

Publikation/Tidskrift/Serie

ISPRS International Journal of Geo-Information

Volym

7

Issue

10

Dokumenttyp

Artikel i tidskrift

Förlag

MDPI AG

Ämne

  • Physical Geography
  • Geosciences, Multidisciplinary

Nyckelord

  • multi-agent artificial intelligence (AI) planning
  • automatic web service composition
  • OGC web service
  • semantic web
  • geoportal
  • Artificial Intelligence (AI)

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 2220-9964