Automatic geospatial information Web service composition based on ontology interface matching

Xianbin Xu; Qunyong Wu; Qinmin Wang

doi:10.1117/12.812531

3 November 2008 Automatic geospatial information Web service composition based on ontology interface matching

Xianbin Xu, Qunyong Wu, Qinmin Wang

Proceedings Volume 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments; 71430A (2008) https://doi.org/10.1117/12.812531
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

With Web services technology the functions of WebGIS can be presented as a kind of geospatial information service, and helped to overcome the limitation of the information-isolated situation in geospatial information sharing field. Thus Geospatial Information Web service composition, which conglomerates outsourced services working in tandem to offer value-added service, plays the key role in fully taking advantage of geospatial information services. This paper proposes an automatic geospatial information web service composition algorithm that employed the ontology dictionary WordNet to analyze semantic distances among the interfaces. Through making matching between input/output parameters and the semantic meaning of pairs of service interfaces, a geospatial information web service chain can be created from a number of candidate services. A practice of the algorithm is also proposed and the result of it shows the feasibility of this algorithm and the great promise in the emerging demand for geospatial information web service composition.

Citation Download Citation

Xianbin Xu, Qunyong Wu, and Qinmin Wang "Automatic geospatial information Web service composition based on ontology interface matching", Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71430A (3 November 2008); https://doi.org/10.1117/12.812531

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