Factal: integrating deep web based on trust and relevance

Authors:
Raju Balakrishnan;Subbarao Kambhampati
Affiliations:
Arizona State University, Tempe, AZ, USA;Arizona State University, Tempe, AZ, USA
Venue:
Proceedings of the 20th international conference companion on World wide web
Year:
2011

Citing 6
Cited 4

Searching distributed collections with inference networks

SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Integration of heterogeneous databases without common domains using queries based on textual similarity

SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
The anatomy of a large-scale hypertextual Web search engine

WWW7 Proceedings of the seventh international conference on World Wide Web 7
A Frequency-based Approach for Mining Coverage Statistics in Data Integration

ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Integrating conflicting data: the role of source dependence

Proceedings of the VLDB Endowment
SourceRank: relevance and trust assessment for deep web sources based on inter-source agreement

Proceedings of the 20th international conference on World wide web

SourceRank: relevance and trust assessment for deep web sources based on inter-source agreement

Proceedings of the 20th international conference on World wide web
Heterogeneous network-based trust analysis: a survey

ACM SIGKDD Explorations Newsletter
Assessing relevance and trust of the deep web sources and results based on inter-source agreement

ACM Transactions on the Web (TWEB)
Agreement based source selection for the multi-topic deep web integration

Proceedings of the 17th International Conference on Management of Data

Quantified Score

Hi-index	0.00

Visualization

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.