Query Processing Along with Query Clustering Analysis in Information Retrieval

Query being the essential in an Information Retrieval (IR) system and user looking to fulfil information need has to formulate a query usually consisting of a small set of keywords summarizing the information need. It reiterates the significance of the query processing in an information retrieval system. The main objective of query processing is to translate a user level query into a low level machine understandable query. The main purpose of this paper is to analyse query clustering along with the query processing and semantic web. Query clustering being one of the emerging techniques and query processing being one of widely used in database systems makes an interesting combination to be analysed. In this paper an attempt is made to evaluate the performance of query clustering along with query processing algorithms in each of the category. The evaluation was based on dataset as specified by Forum for Information Retrieval [FIRE11].