Design and Compressed Storage of Inverted Index Based on Mixed Word Segmentation

Speed and accuracy are the two key factors for the public-oriented integrated information service platform. This paper discusses a mixed segmentation based on the inverted index and compression algorithm. By combining database and file storage, we achieved index storage, which can support multi-table & multi-field simultaneous inquiry effectively. The design think of search engine interface based on such index storage mode has been introduced in detail at last in the paper. According to the above, search engine we designed inquiries faster than commonly used SQL statements several times faster. I am sure that will make more practical value for those who are interested in it.