• DocumentCode
    3064672
  • 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
  • fYear
    2012
  • fDate
    23-26 June 2012
  • Firstpage
    779
  • Lastpage
    782
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4673-1365-0
  • Type

    conf

  • DOI
    10.1109/CSO.2012.175
  • Filename
    6274839