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author:

Xu, Xianbin (Xu, Xianbin.) [1] | Wu, Qunyong (Wu, Qunyong.) [2] (Scholars:邬群勇) | Wang, Qinmin (Wang, Qinmin.) [3]

Indexed by:

EI Scopus

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. © 2008 SPIE.

Keyword:

Geographic information systems Information services Ontology Quality of service Semantics Semantic Web Web services Websites

Community:

  • [ 1 ] [Xu, Xianbin]Key Laboratory of Spatial Data Mining and Information Sharing, Fuzhou University, Ministry of Education, Fujian Province, Fuzhou 350002, China
  • [ 2 ] [Wu, Qunyong]Key Laboratory of Spatial Data Mining and Information Sharing, Fuzhou University, Ministry of Education, Fujian Province, Fuzhou 350002, China
  • [ 3 ] [Wang, Qinmin]Key Laboratory of Spatial Data Mining and Information Sharing, Fuzhou University, Ministry of Education, Fujian Province, Fuzhou 350002, China

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ISSN: 0277-786X

Year: 2008

Volume: 7143

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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