The Location-aware keyword query returns top ranked group of objects that are near a query location and that have textual descriptions that match query keywords.IR2-tree and compression scheme are used in the existing system for providing solution for finding nearest neighbour. This method has few drawbacks. The downsides are overcome by object aggregation method based on spatial inverted index. For example, the nearest group of hotels is searched by giving menus as keywords. Spatial Inverted Index has collections of spatial represent points are conferred with the collections of key word. Object aggregation is done by grouping the aggregative objects to retrieve the placement and textual dependent data. Priority level search is used to search the objects based on the priority given for the keywords depends on the user. The optimized group of objects is retrieved as a result.