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A Search Engine Modification for Medical Content Search

Major amount and variety of information are available on the World Wide Web (Web) and it is increasing in an unstructured manner. This makes the process of navigation and retrieval of information difficult and sometimes frustrating. Data mining and web mining are the application that helps to manage and explore hidden knowledge from data. Web search engines facilitate users to search a verity of data on the web, but they are less effective because of the proliferation of documents and the availability of hundreds of links as a result of user queries. Users may become lost or frustrated because of unintuitive navigation and incapability of evaluating the relevance of links through their semantic meanings. Most of the links might be unrelated to what the user wants. In this paper we explore the search engine and additionally modify the listing of results. So that user becomes capable to search medical data contents in most relevant way. Sometimes it is known as search re-ranking. Gathering useful and interesting information from the Web or discovering knowledge from hypertext data is a problem. It may be solved by implementing measures to make Web information understandable by a Web search engine or other types of software. In this paper we describe a classification of web search data according to the user need in medical domain over the web search engine. Classification leads to sorting, indexing, combining different results, categorized the output data. Moreover it also presents the comparison of traditional search and improved search on the basis of performance. Keywords— WWW, web search engine, sorting, indexing query.