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MEXIR: An Implementation of High Performance and High Precision on XML Retrieval

MEXIR: An Implementation of High Performance and High Precision on XML Retrieval
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摘要 Traditional information retrieval systems respond to user queries with ranked lists of relevant documents. Since, XML (Extensible Markup Language) documents separate content and structure; XML-IR (information retrieval) systems are able to retrieve only the relevant portions of documents. Therefore, users who utilize an XML-IR system could potentially receive highly relevant and precise material. We have developed the XML information retrieval system by using MySQL and Sphinx, which we call MEXIR. In our system, XML documents are stored into one table that has fixed relational schema. The schema is independent of the logical structure of XML documents. Each node in XML documents is represented by labels that express the positions in XML tree, namely ADXPI scheme. Our system has performance experiments on INEX collections and shown an average up to four seconds better than GPX. In addition, it has been reduced the size of the data down by 82.29 % compare to GPX system.
出处 《Computer Technology and Application》 2011年第4期301-310,共10页 计算机技术与应用(英文版)
关键词 XML retrieval information retrieval ranking strategies indexing units. 信息检索系统 XML文档 性能试验 高精度 可扩展标记语言 逻辑结构 MySQL 文档存储
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