New paradigm to keyword search: A survey

The total information available on WWW (World Wide Web) is huge and is increasing at lightning speed. Existing web is dominated by Search Engines which are running on keyword based search system which in turn leads to wastage of end user´s precious time if he do not know the key terms which are utilized to index preferred correct pages. For example, a user enters the term `Jaguar´. Now current search engines will display results for `Car Jaguar´, `Cat Jaguar´ and `Operating System Jaguar´. That means it is the overhead on the user to go through the contents of the web pages to get the desired information. The same problem is with image search engines. If query is searched for images of `Tourist places in India´, image result set will return number of irrelevant as well relevant images. To solve this problem solution is required where machine will itself separate the result into relevant and irrelevant one and then presenting the relevant ones to the user and Semantic Web is a step towards that. It is web 3.0, an expansion of the current web, web 2.0 , that permits the meaning of information to be specifically described which can be well understood by computer as well as user. Ontology is very important ingredient of Semantic Web. Advantage of using Semantic Web is that it improves the usability & performance of search engine and thereby increases Precision and Recall rate of search engine. This paper tries to identify the major challenges for today´s keyword search engines to handle the fast growth of web and support comprehensive user demands in quick time. Then it surveys different search techniques proposed, developed or implemented by researchers.