Volume : IV, Issue : VI, June - 2015

NEAREST KEYWORD SEARCH BY MEASURING SEMANTIC SIMILARITY

Harsha Aravind M

Abstract :

 Spatial queries, such as range search and nearest neighbor retrieval, involve only conditions on objects geometric properties. A spatial database manages multidimensional objects(such as points, rectangles, etc.), and provides fast access to those objects based on different selection criteria. Now–a–days many applications call a new form of queries to find the objects that satisfying both a spatial predicate, and a predicate on their associated texts. For example, instead of considering all the restaurants, a nearest neighbor query would instead ask for the restaurant that is the closest among those whose menus contain the specified keywords all at the same time.Concept of IR2–tree and spatial inverted index is used in the existing system for providing best solution for finding nearest neighbor and also it is a simple web application that stores a collection of documents in Database. This method has few deficiencies. So proposed a new technique which includes extracting synonyms and measuring semantic similarity to improve the query results

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Harsha Aravind M Nearest Keyword Search by Measuring Semantic Similarity International Journal of Scientific Research, Vol : 4, Issue : 6 June 2015

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