Hierarchical Indexing and Flexible Element Retrieval for Structured Document
Hierarchical Indexing and Flexible Element Retrieval for Structured Document
复制标题
结构化文档的分层索引和灵活元素检索
DOI：
10.1007/3-540-36618-0_6
复制
发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Tat
中科院分区：
文献类型：
--
作者：
H. Cui;Ji;Tat
随着越来越多的结构化文档（如SGML或XML文档）在Web上可用，开发有效的结构化文档检索的需求日益增长，这种检索利用文档的内容和层次结构，并返回具有适当粒度的文档元素。由于结构化查询的要求和不能根据查询遍历文档结构的限制，以前关于结构化文档部分检索的工作限制了应用。本文提出了一种灵活的元素检索方法，可以针对自然语言查询检索任意粒度的相关文档元素。所提出的技术构成了一种新的层次索引传播和修剪机制以及基于层次索引的文档元素排序算法。实验结果表明，该方法明显优于现有的方法。对于结构化文档检索中长期存在的文本长度规范化和阈值设置问题，我们的方法也显示出鲁棒性。
As more and more structured documents, such as the SGML or XML documents, become available on the Web, there is a growing demand to develop effective structured document retrieval which exploits both content and hierarchical structure of documents and return document elements with appropriate granularity. Previous work on partial retrieval of structured document has limited applications due to the requirement of structured queries and restriction that the document structure cannot be traversed according to queries. In this paper, we put forward a method for flexible element retrieval which can retrieve relevant document elements with arbitrary granularity against natural language queries. The proposed techniques constitute a novel hierarchical index propagation and pruning mechanism and an algorithm of ranking document elements based on the hierarchical index. The experimental results show that our method significantly outperforms other existing methods. Our method also shows robustness to the long-standing problems of text length normalization and threshold setting in structured document retrieval.