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The Research and Application of Full-Text Search System Based on Lucene

Author: SuJingChun
Tutor: WangYiZhi
School: Beijing Jiaotong University
Course: Computer Science and Technology
Keywords: Lucene Full-text indexing model IRST Chinese word segmentation Page Sort
CLC: TP391.3
Type: Master's thesis
Year: 2010
Downloads: 236
Quote: 5
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Abstract


With the popularity of the Internet technology, and improve the level of information, information on network resources increased dramatically, and information on a variety of forms. Information retrieval is obtained from the flood of information resources users need information technology. Therefore, access to the most needed information from vast amounts of unstructured data resources become another major challenge faced by the modern field of information retrieval. Important tool for full-text search as an important branch of modern information retrieval technology, it is not only dealing with unstructured data, is also a mainstream technology, one of the search engines. In order to improve the retrieval accuracy and retrieval efficiency of information retrieval technology, such as: index model segmentation techniques, results Sort algorithm, the research is very necessary. In this paper, the full-text index model for the study, and full-text search in the Chinese word and page sort algorithm has been improved. Finally, the use of open source architecture of full-text search engine Lucene establish a full-text search system to verify the improved performance of the full-text retrieval system. The main work of this paper are as follows: (1) each other the associated the successor tree index model studies discussed in this article and compare the existing full-text index of several popular model, and highlights the IRST (IRST) index model, it has create fast, high query efficiency, as well as the original characteristics can be generated through the index. This model herein do further research, and subsequent orderly interrelated index model, using the method of its orderly subtree Intersection quickly retrieve the results. (2) Chinese sub-word technology of research and improvement in this article using IRST as a the segmenters word table of data structure, to improve the speed of word segmentation; accuracy of word segmentation, this paper the segmentation process ambiguous word carried Analysis , and the \The experimental results show that this is a word faster high segmentation method accuracy. (3) page sorting algorithm research and improvement In this paper, based on analysis of the mainstream of the current page sorting algorithm, PageRank algorithm on the current use of a wide range of improvements. Experimental results show that the improved ranking algorithm is a sorting algorithm with higher accuracy. (4) designed and implemented based the Lucene news retrieval system take advantage of the improved method is designed and implemented a News retrieval system based on Lucene. The experimental results show that the improved full-text retrieval system can better support Chinese retrieval and provide more accurate information to the user need.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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