Abstract

A semantic model is proposed in this paper for geographic information service composition. It descript the content of service and user request semantically based on ontology, it takes process model of composited service into account to improve the efficiency of service matching Algorithm. The matchmaker affords to obtain the services list as result to meet the intent of user by advanced matching Algorithm. The result of experiment shows that the method this paper proposed performs well.

Highlights

  • GIS since the 1960s, rapid development, continuously applied in the new domains and areas, but the sharing and exchange of geographic information has always been a tough problem faced by the GIS application system developers

  • In order to solve the problem, publish the GIS data with geographic information services (GI Service) based on the SOA architecture become the main means of technology

  • Semantic Web technologies can enhance the GI service semantic description capabilities, to improve the GI Service based on semantic information sharing capabilities

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Summary

Introduction

GIS since the 1960s, rapid development, continuously applied in the new domains and areas, but the sharing and exchange of geographic information has always been a tough problem faced by the GIS application system developers. In order to solve the problem, publish the GIS data with geographic information services (GI Service) based on the SOA architecture become the main means of technology. GI Service greatly enhanced openness, sharing capabilities and flexibility of geographic information, but it cannot achieve the semantic level of the share exchange, processing and aggregation. Semantic Web technologies can enhance the GI service semantic description capabilities, to improve the GI Service based on semantic information sharing capabilities. The method this paper proposed focus on the GI service semantic description of the W3C OWL-S ontology, the establishment of a semantic model of a unified GI Service, calculate the semantic similarity between the semantic description of services and user requests with WordNet ontology, get in line with user intent to improve the performance service matching Algorithm

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