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Single and Multiple point Spatial Queries Supporting Keywords for Searching Nearest Neighbors
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 110 - Number 7 |
| Year of Publication: 2015 |
| Authors: Komal K. Chhajed, Shailaja Jadhav |
10.5120/19328-0842
|
Komal K. Chhajed, Shailaja Jadhav . Single and Multiple point Spatial Queries Supporting Keywords for Searching Nearest Neighbors. International Journal of Computer Applications. 110, 7 ( January 2015), 13-15. DOI=10.5120/19328-0842
Abstract
Today's applications requesting 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.
References
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