Research Based On P2PKM Desktop Searching Optimization

Computer technology increasingly developed and the Internet distributed rapidly,electronical document quantity expanded suddenly. People pay attention to search neededinformation speedly, roundly, truly from large numbers of informations, and the attention isthe researching project in the researching field. At present, new application of informationsearch is the desktop searching engine that released in succession interiorly and overseas. Thedesktop searching's characteristic has no use for browser with searching, and expend thesearching object to kinds of stored documents in our personal hard disk. The desktopsearching provides users to search their hard disk rapidly and receive the searching result lessa second.Desktop searching engine is the typical representative of integrating informationsearching technology. Full-text searching technology is the core of the information searching.Based on P2P Knowledge Management study system, we need a more consummate desktopsearch engine. This dissertation studied and analysed the full-text searching technology, theLucene full-text searching engine's tool package and the approximate mirror text algorithm.The paper expended and completed tabletop search engine, improved on Chinese syncopatingword technology, supported to search more kinds of documents, and brought forward amethod that eliminates the repeated document with MD5 fingerprint approximate mirror textalgorithm before building index. After the dissertation's expander, P2P KnowledgeManagement study system can satisfy our users more requirements.