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Design and Implementation of Multi-source Document of Full-Text Search System

Author: FangYanFen
Tutor: LiuQingTang
School: Central China Normal University
Course: Educational Technology
Keywords: Multi- source document Index Metadata Search
CLC: G354
Type: Master's thesis
Year: 2009
Downloads: 155
Quote: 2
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Abstract


Full-text search is a quick and effective information retrieval technology, which greatly improves the people from the large number of complex data to find specific information more efficient. Although the current text processing technology has been greatly developed and applied, but there are still some problems to be studied: how to extract the useful text; how to extract the tag document metadata information; how to improve text search accuracy and recall rate . This study is a multi-source document text retrieval system design and implementation, mainly for the representation of the entire file database, organizing, indexing, and query that, according to the user's query requests from the file database to retrieve relevant information. Its central part is the text parsing, indexing library establishment, for information acquisition, processing and retrieval results match the relevant information, the main research work is reflected in: (a) multi-source documents to analyze and summarize text retrieval system construction technology and theory. For Chinese word segmentation, full-text indexing technology, user-oriented demand retrieval and content-based metadata describes techniques were studied in detail and elaboration. (2) design and analysis of multi-source document text retrieval system structure. Problems for Chinese text content analysis, multi-source document conversion issues, Chinese word segmentation problem, a model of an effective solution. The study includes full-text retrieval system structure, function module design and index structures and database design. Research focused on segmentation, indexing and retrieval module analysis and design. (3) multi-source document text retrieval system build key technologies. Proposed based on word frequency statistics and retrieval more efficient aggregation feature words have greater flexibility with Bayesian segmentation algorithm combined with the idea in favor of a thorough analysis of user input query request, in order to ensure the quality of the query results to return The most desired results to the user, but can also have a word search results segmentation flexibility. (4) Multi-source document text retrieval system implementation. Select the best of the Java language is more mature Struts framework technology to the level of development planning system, combined with UML Unified Modeling Language and program design flow method, the system function modules for programming and implementation. Paper characteristics of the place is reflected in: Multi-source document format conversion and document analysis, metadata extraction algorithm optimization technology, document indexing mechanism. Retrieval recall and precision rates improved effectively. Operation by example to prove that the system can achieve multi-source document full-text search capabilities.

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CLC: > Culture, science,education, sports > Science,scientific research > Information science, intelligence > Information Retrieval
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