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Hash-search: An efficient SLCA-based keyword search algorithm on XML documents

  • Fudan University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

XML is a de-facto standard for exchanging and presenting information and keyword search over XML documents has become an interesting topic. However semi-structured XML data give rise to many challenges of conventional information retrieval technologies. In order to return highly-related data nodes and improve the quality of keyword search result, SLCA(Smallest Lowest Common Ancestor )-based keyword search on XML data is recently attracting more and more attention in the database community. In this paper, we design efficient index and propose hash-based method to answer SLCA-based keyword search queries. Our approach outperforms Incremental Multiway-SLCA approach, which is the most efficient algorithms in the literature. We demonstrate the effectiveness of our algorithms analytically and experimentally.

源语言英语
主期刊名Database Systems for Advanced Applications - 14th International Conference, DASFAA 2009, Proceedings
496-510
页数15
DOI
出版状态已出版 - 2009
活动14th International Conference on Database Systems for Advanced Applications, DASFAA 2009 - Brisbane, QLD, 澳大利亚
期限: 21 4月 200923 4月 2009

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5463
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议14th International Conference on Database Systems for Advanced Applications, DASFAA 2009
国家/地区澳大利亚
Brisbane, QLD
时期21/04/0923/04/09

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