Knowledge-based fast web query engine using NoSQL

In this thesis, we have described an advanced search interface which provides knowledge-based, domain-independent and efficient information retrieval, enabling users to automatically enlarge their questions and to guide them as they develop their enquiry in an interactive way. Though search engines are crucial for acquiring data from the World Wide Web, users still have difficulties in acquiring the most important data while processing their web queries. Previous studies have tried to use varied techniques for improving web query processing with differed success levels. In this study, we have used NoSQL (Not Only SQL) for fast web query searching due to the vast number of benefits associated with it. For example, it is time efficient and it is possible to retrieve the specific information from a large pool of data. An examination of the various queries from the various application domains by use of linguistic and semantic cognition exposits how more relevant results may be acquired.