Design And Implementation Of A Desktop Search System That Supports Boolean Queries

With the rapid development of computer technology and the Internet,the information from the Internet or the information stored on the hard disk is increasing dramatically.How to quickly and accurately find the desired information in the mass of data has become an urgent problem that users want to solve.It has also become a hot research topic in the computer field at present.Currently,a newest application of information retrieval technology is desktop search engine for personal computers.Desktop search is a typical representative of integrated information retrieval technology.Based on the open source code of Lucene is built on the desktop search engine,the principle and method of using Lucene to create an index and search index,study the analyzer's effect,set up to support the Boolean query desktop search model,design model and architecture.This paper explains the use of Lucene,design framework,structural features and core class.Detailed instructions on the use of Lucene document indexing and search process.Combined with the functional requirements of the system,the specific implementation scheme is proposed..A Boolean search system based on Boolean query is implemented by using C#language.The Boolean retrieval model is implemented,the files to be searched are indexed,the data is converted to text,the text is analyzed and the results of text analysis are indexed.The paper calculates the similarity score of document vector containing each index item and the query vector,and arranges the query results in reverse order by using the score value to carry out the analysis of the multiple formats(such as doc,ppt,excel,pdf,txt,etc.)in the local hard disk search for.