Searching, analyzing and exploring databases

Yi Chen, Wei Wang, Ziyang Liu

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

1 Scopus citations

Abstract

Keyword based search, analysis and exploration enables users to easily access databases without the need to learn a structured query language and to study possibly complex data schemas. Supporting keyword based search, analysis and exploration on databases has become an emerging hot area in database research and development due to its substantial benefit. Researchers from different disciplines are working together to tackle various challenges in this area. This tutorial aims at outlining the problem space of supporting keyword based search, analysis and exploration on databases, introducing representative and state-of-the-art techniques that address different aspects of the problem, and discussing further challenges and potential future research directions. The tutorial will provide the researchers and developers a systematic and organized view on the techniques related to this topic. A tutorial with similar topic was given in SIGMOD 2009 [1], and was very well received. Since the research interest in keyword search on structured data is ever increasing and there are plenty of new techniques since then, this tutorial will be updated to incorporate the new findings in this area, which covers query processing, type ahead search, query suggestion, personalization, result comparison, faceted search, etc.

Original languageEnglish (US)
Title of host publicationDatabase Systems for Advanced Applications - 16th International Conference, DASFAA 2011, Proceedings
Pages467-469
Number of pages3
EditionPART 2
DOIs
StatePublished - Apr 28 2011
Externally publishedYes
Event16th International Conference on Database Systems for Advanced Applications, DASFAA 2011 - Hong Kong, China
Duration: Apr 22 2011Apr 25 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6588 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Conference on Database Systems for Advanced Applications, DASFAA 2011
CountryChina
CityHong Kong
Period4/22/114/25/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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