Search Engine Related Technical Research

The increasing number of information on the Internet, making the Internet users already very difficult to address bar input address or simple navigation website accurate, effectively find the necessary information. So, how to solve this problem? And the answer is the only: search engine. Search engine now has become Internet users in the Internet to find the information they need the indispensable retrieval tool. So, this makes specialists and scholars to the search engine's research in recent years more seriously, search engine all sorts of relevant technology has made considerable progress, and successively appeared like Baidu and Google, Yahoo with such good search engine. Because the Internet information content is explosion on the way, so a growing Internet users rely on search engine degree are increasingly deep, search engine technology development opportunities which arrived, meanwhile, it also makes the unprecedented challenge comes to search engine field. With the search engine related technology has many aspects of the bottom, they distributed file storage system is quite important in one direction. Therefore this paper one of the research on search engine part was the bottom of the distributed file storage system analysis and optimization, the purpose is through improving the underlying distributed file storage system performance, to finally reach the top of the search engine to its other parts with better performance can be used. Because the recent search engine field the semantic retrieval of direction has become a hot, so this is the second study among search engine part of semantic level, we use is retrieving ontological ways to create semantic association space, using semantic association space after implementing semantic level to the retrieval. The last part we discuss the current is also very popular XML (Extensible Language, also is creating Extensible Markup Language) data search engine retrieval algorithm, we will discourse analysis to the current popular XML retrieval algorithm, and put forward our optimization strategy.