• DocumentCode
    721314
  • Title

    Single and Multiple Point Spatial Queries Supporting Keywords for Searching Nearest Neighbors

  • Author

    Chhajed, Komal K. ; Jadhav, Shailaja

  • Author_Institution
    ME Comput., MMCOE, Pune, India
  • fYear
    2015
  • fDate
    26-27 Feb. 2015
  • Firstpage
    465
  • Lastpage
    468
  • Abstract
    Today´s applications request for finding spatial objects closest to a specified location or within some range which satisfy constraint of keywords. Initially, spatial queries finding nearest neighbor or range queries having conditions on only geometric properties of object points. For example, in the emergency of accident taking all hospital in consideration is not useful rather than finding hospital having facilities like ICU and emergency facilities at the same time. Currently, solution to these queries is based on the IR2-tree is not capable to provide real time effective answers. A new method named the SI-index Spatial Inverted) is developed extends the capabilities of conventional inverted index manages with multidimensional data, along with the solution of moving range queries answered by using SI-index results to algorithm which solves the problem in real time.
  • Keywords
    query processing; search engines; ICU; IR2-tree; SI-spatial inverted index; emergency facilities; keyword search; moving range query answering; multidimensional data; multiple point spatial query; nearest neighbor searching; object point geometric property; range query; search engine; single point spatial query; spatial objects; Algorithm design and analysis; Hospitals; Indexes; Query processing; Real-time systems; Search engines; Spatial databases; Keyword Search; Nearest Neighbor Search; Range query; Spatial Inverted Index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/ICCUBEA.2015.97
  • Filename
    7155890