The recent explosion in the number of Web pages has caused the searching service market to expand. As the number of pages increases, finding information on the Web seems to become more and more difficult. Not only are the number of Web pages increasing, but so is the dynamic nature of each Web page. Web page owners freely modify the contents of their pages, moving directories and changing file names. News services make static pointers to today's page whose contents change every day, such as a stock price page that changes its value every minute via an automatic program. These factors add to the difficulty of searching the Web.
Searching the Web usually requires pages to be classified in some manner. However, classifying the content of Web pages is hard work. The author may not provide an index of the page's content. Indices also depend heavily on writer justification.
Another difficulty in searching the web lies with independent search engines. These search engines uses queries to perform their searches. However, no standard for query operation has yet developed. Moreover, the results of a query are not uniform to corroborate front-end processing.
The search process will not be a standard itself. Many standards are reviewed to support search processing.
This paper will study how a standard forms, using searching the Web as a case study. Specifically, this paper will examine technology, providers, and consortium work. No standard has yet developed to search the Web.