Keyword Search on Structured and Semi-Structured Data

被引:0
|
作者
Chen, Yi [1 ]
Wang, Wei
Liu, Ziyang [1 ]
Lin, Xuemin
机构
[1] Univ Arizona, Tucson, AZ 85721 USA
基金
美国国家科学基金会;
关键词
keyword search; databases; XML; top-k;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex and possibly fast evolving data schemas. In this tutorial, we give an overview of the state-of-the-art techniques for supporting keyword search on structured and semi-structured data, including query result definition, ranking functions, result generation and top-k query processing, snippet generation, result clustering, query cleaning, performance optimization, and search quality evaluation. Various data models will be discussed, including relational data, XML data, graph-structured data, data streams, and workflows. We also discuss applications that are built upon keyword search, such as keyword based database selection, query generation, and analytical processing. Finally we identify the challenges and opportunities of future research to advance the field.
引用
收藏
页码:1005 / 1009
页数:5
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