A Tool for Processing Spatial Queries with Multiple Keyword Support

Spatial Data Mining (SDM) is the process of mining spatial databases. Spatial databases contain details of geographical objects. Spatial data is generally associated with non-spatial data as well. Queries on spatial databases can also predicates to obtain the required results. However, the predicates are pertaining to the geographical features of spatial objects. The applications that use spatial data mining need to use both spatial and non-spatial predicates in order to achieve high quality results. For speeding up the process of spatial queries, IR2-tree is used. There are some drawbacks of this data structure. In order to overcome this spatial inverted index came into existence which improves query processing significantly better. However, it supports search with a single keyword. In this paper we proposed a solution with multi-keyword search. Our prototype application demonstrates the proof of concept. Index Terms – Spatial data mining, keyword search, nearest neighbor search ____________________________________________________________________________________________