Keyword-based search and exploration on databases

Yi Chen, Wei Wang, Ziyang Liu

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

36 Scopus citations

Abstract

Empowering users to access databases using simple keywords can relieve 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-based search and exploration on databases. Several topics will be discussed, including query result definition, ranking functions, result generation and top-k query processing, snippet generation, result clustering, result comparison, query cleaning and suggestion, performance optimization, and search quality evaluation. Various data models will be discussed, including relational data, XML data, graph-structured data, data streams, and workflows. Finally we identify the challenges and opportunities for future research to advance the field.

Original languageEnglish (US)
Title of host publication2011 IEEE 27th International Conference on Data Engineering, ICDE 2011
Pages1380-1383
Number of pages4
DOIs
StatePublished - Jun 6 2011
Externally publishedYes
Event2011 IEEE 27th International Conference on Data Engineering, ICDE 2011 - Hannover, Germany
Duration: Apr 11 2011Apr 16 2011

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other2011 IEEE 27th International Conference on Data Engineering, ICDE 2011
Country/TerritoryGermany
CityHannover
Period4/11/114/16/11

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Information Systems

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