Keyword search on structured and semi-structured data

Yi Chen, Wei Wang, Ziyang Liu, Xuemin Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

127 Scopus citations

Abstract

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 feld.

Original languageEnglish (US)
Title of host publicationSIGMOD-PODS'09 - Proceedings of the International Conference on Management of Data and 28th Symposium on Principles of Database Systems
Pages1005-1009
Number of pages5
DOIs
StatePublished - 2009
Externally publishedYes
EventInternational Conference on Management of Data and 28th Symposium on Principles of Database Systems, SIGMOD-PODS'09 - Providence, RI, United States
Duration: Jun 29 2009Jul 2 2009

Publication series

NameSIGMOD-PODS'09 - Proceedings of the International Conference on Management of Data and 28th Symposium on Principles of Database Systems

Other

OtherInternational Conference on Management of Data and 28th Symposium on Principles of Database Systems, SIGMOD-PODS'09
Country/TerritoryUnited States
CityProvidence, RI
Period6/29/097/2/09

All Science Journal Classification (ASJC) codes

  • Software

Keywords

  • Databases
  • Keyword search
  • Top-k
  • XML

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