DynaCet: Building dynamic faceted search systems over databases

Senjuti Basu Roy, Haidong Wang, Ullas Nambiar, Gautam Das, Mukesh Mohania

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

26 Scopus citations

Abstract

Extracting information and insights from large databases is a time-consuming activity and has received considerable research attention recently. In this demo, we present DynaCet - a domain independent system that provides effective minimum-effort based dynamic faceted search solutions over enterprise databases. At every step, Dynacet suggests facets depending on the user response in the previous step. Facets are selected based on their ability to rapidly drill down to the most promising tuples, as well as on the ability of the user to provide desired values for them. The benefits provided include faster access to information stored in databases while taking into consideration the variance in user knowledge and preferences.

Original languageEnglish (US)
Title of host publicationProceedings - 25th IEEE International Conference on Data Engineering, ICDE 2009
Pages1463-1466
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event25th IEEE International Conference on Data Engineering, ICDE 2009 - Shanghai, China
Duration: Mar 29 2009Apr 2 2009

Publication series

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

Other

Other25th IEEE International Conference on Data Engineering, ICDE 2009
CountryChina
CityShanghai
Period3/29/094/2/09

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Information Systems

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