Semantic Similarity Measures for Best Keyword Search

As in various search mechanism keyword search is used which provides a simple but user friendly interface to retrieve information. Web search engines are widely used for searching textual documents. An interesting problem known as Closest Keywords search is to query records, called keyword cover, which together cover a set of query keywords and have the inter-record score. In recent years, the availability and importance of keyword re-rank in record evaluation for the better decision making is increasing. This motivates us to investigate a generic version of Closest Keywords search called Best Keyword Cover (BKC) which considers inter-record score as well as re-rank. Also the exact measurement of semantic similarity between words is essential for various tasks such as, information retrieval and synonym extraction. It should be able to understand the semantics or meaning of the words. But in some cases user enters input as a phrases or meaning of the words then it is critical to find the accurate keyword so WNRD (Word-Net Reverse Dictionary) is use. When the set of query keywords is generated by query generation different results are found, to get the most probable result from the given set k-Nearest Neighbour is use on the basis of inter-record score