Automatic Composition of Geospatial Web Services in Order to Generate Landslide Susceptibility Map

Farnaghi, M; Mansourian, A

doi:10.22071/gsj.2015.43113

Automatic Composition of Geospatial Web Services in Order to Generate Landslide Susceptibility Map

Document Type : Original Research Paper

Authors

M Farnaghi

A Mansourian

Assistant Professor, GIS Group, Faculty of Geodesy & Geomatics Engineering, K.N.Toosi University of Technology, Tehran, Iran

10.22071/gsj.2015.43113

Abstract

Accurate and up-to-date spatial data play a crucial role in disaster management. However, currently utilization of spatial data in decision making process before, during and after disasters is limited due to various problems. Automatic composition of geospatial web services can significantly improve the decision making process in disaster management. This article is going to represent an approach for utilization of automatic web service composition in disaster management. In this approach, geospatial web services of different organization are syntactically and semantically described and registered in the national geoportal. The services are composed based on user requirement using Artificial Intelligence Planning algorithms. The new composite web services are registered as new geospatial web services. The applicability of the approach is illustrated in a case study for generating a composite web service that can build landslide susceptibility map.

Keywords

Automatic Web Service Composition

Geospatial Web Services. AI Planning

Landslide Susceptibility Map