CHENG Xiaoqiang, AI Tinghua, YANG Min. A Decision-Driven Method for Building SemanticallyEnriched Map Generalization Services[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5): 561-565. DOI: 10.13203/j.whugis20120208
Citation: CHENG Xiaoqiang, AI Tinghua, YANG Min. A Decision-Driven Method for Building SemanticallyEnriched Map Generalization Services[J]. Geomatics and Information Science of Wuhan University, 2014, 39(5): 561-565. DOI: 10.13203/j.whugis20120208

A Decision-Driven Method for Building SemanticallyEnriched Map Generalization Services

  • Objective Web service and map generalization can improve syntactic and semantic interoperability how-ever their collaboration remains unsolved.On the one hand,standards for geospatial information serv-ices are generic and do not consider the specific field,such as map generalization;on the other hand,the generalization of knowledge is too complex to systematically extract accurate information to enrichthe semantics of a map generalization service.This paper aims to investigate the classical“operator-al-gorithm-threshold”decision mode,introducing an implicit correspondence between the mode and WPSinteraction process,and further extending this to service chaining.Based on this implicit relationship,four kinds of information suitable for enriching generalization services are summarized and analyzed indetail.Finally,this semantic information mentioned above is used to extend the WPS specification.The semantic information in this study is concise and accurate enough to be embedded in the WPS in-teraction process hierarchically and thus improves the semantic interoperability of a map generalizationservice while taking the OGC standard into account.
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