Factal: Integrating deep web based on trust and relevance

Raju Balakrishnan, Subbarao Kambhampati

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

6 Scopus citations

Abstract

We demonstrate "Factal" - a system for integrating deep web sources. Factal is based on the recently introduced source selection method "SourceRank"; which is a measure of trust and relevance based on the agreement between the sources. SourceRank selects popular and trustworthy sources from autonomous and open collections like the deep web. This trust and popularity awareness distinguishes Factal from the existing systems like Google Product Search. Factal selects and searches active online databases on multiple domains. The demonstration scenarios include improved trustworthiness, relevance of results, and comparison shopping. We believe that by incorporating effective source selection based on the SourceRank, Factal demonstrates a significant step towards a deep-web-scale integration system.

Original languageEnglish (US)
Title of host publicationProceedings of the 20th International Conference Companion on World Wide Web, WWW 2011
Pages181-184
Number of pages4
DOIs
StatePublished - 2011
Event20th International Conference Companion on World Wide Web, WWW 2011 - Hyderabad, India
Duration: Mar 28 2011Apr 1 2011

Publication series

NameProceedings of the 20th International Conference Companion on World Wide Web, WWW 2011

Other

Other20th International Conference Companion on World Wide Web, WWW 2011
Country/TerritoryIndia
CityHyderabad
Period3/28/114/1/11

Keywords

  • deep web
  • source selection
  • sourcerank
  • web integration

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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