Title :
Data Integration and Fusion of Multi-source Vector Map
Author :
Li, Gang ; Gao, Yong ; Zhang, Min
Author_Institution :
Dept. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
To the ambiguous question of data from multi-souce sources vector map, the paper described the overall framework, content and methods of data integration and fusion. Data integration includes unification of spatial reference, spatial data model and semantic coding. The method of data integration includes data format conversion, data mutual operation and data direct accessing. Data format conversion method is chosen in this paper because it is easy and practical. A self-adaptive iterative algorithm of matching the same entity in fusion is proposed in this paper which is significant in improving reliability of data. Finally, this paper takes digital vector map and digital vector chart for example to integrate and fuse data and the result is discussed.
Keywords :
data integration; data models; information retrieval; iterative methods; reliability; sensor fusion; data direct access; data format conversion method; data fusion; data integration; data mutual operation; data reliability; digital vector chart; digital vector map; multisource vector map; self-adaptive iterative algorithm; semantic coding; spatial data model; spatial reference; Data models; Encoding; Geographic information systems; Semantics; Spatial databases; Vectors; Data Fusion; Data Integration; Multi-Source Map; Vector Data;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1365-0
DOI :
10.1109/CSO.2012.175