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- W2360931278 abstract "Aimed at the problems of inadequate sharing of heterogeneous transportation data within urban fast road networks,an ontology model of transportation data was constructed,which divided transportation data into three categories,such as topology data,geographic data,and dynamic data.An ontology-based technical solution for heterogeneous transportation data integration was sketched.The solution utilized ontology to provide a common understanding of semantic meanings of transportation data,used D2RQ engines to map heterogeneous data into fragments of well-formed ontology data,and introduced JENA-based ontology middleware to integrate multiple fragments of ontology data into an integral view of data semantics.Therefore,it provided better data-sharing ability and more intelligent data manipulating approach for various topic-oriented transportation services in upper layer.A demonstration system of this ontology-based solution was developed for urban fast road networks in Xi'an.The results show that the time consumption of this solution is as 4times long as directly accessing database because of the additional semantic consistency processing of transportation data,but is still negligible compared with the dynamically loading delay of GIS controls.As a result,the solution can promote the ability of common understanding and adequate sharing of heterogeneous transportation data among network systems,which will play an important role in the informatization process of city transportation in China.5tabs,5figs,14refs." @default.
- W2360931278 created "2016-06-24" @default.
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- W2360931278 date "2013-01-01" @default.
- W2360931278 modified "2023-09-25" @default.
- W2360931278 title "Ontology-based transportation data integration and application for urban fast road networks" @default.
- W2360931278 hasPublicationYear "2013" @default.
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