Answering imprecise queries over autonomous Web databases

Ullas Nambiar; Subbarao Kambhampati

doi:10.1109/ICDE.2006.20

Answering imprecise queries over autonomous Web databases

Ullas Nambiar, Subbarao Kambhampati

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

55 Scopus citations

Abstract

Current approaches for answering queries with imprecise constraints require user-specific distance metrics and importance measures for attributes of interest - metrics that are hard to elicit from lay users. We present AIMQ, a domain and user independent approach for answering imprecise queries over autonomous Web databases. We developed methods for query relaxation that use approximate functional dependencies. We also present an approach to automatically estimate the similarity between values of categorical attributes. Experimental results demonstrating the robustness, efficiency and effectiveness of AIMQ are presented. Results of a preliminary user study demonstrating the high precision of the AIMQ system is also provided.

Original language	English (US)
Title of host publication	Proceedings of the 22nd International Conference on Data Engineering, ICDE '06
Pages	45
Number of pages	1
DOIs	https://doi.org/10.1109/ICDE.2006.20
State	Published - 2006
Event	22nd International Conference on Data Engineering, ICDE '06 - Atlanta, GA, United States Duration: Apr 3 2006 → Apr 7 2006

Publication series

Name	Proceedings - International Conference on Data Engineering
Volume	2006
ISSN (Print)	1084-4627

Other

Other	22nd International Conference on Data Engineering, ICDE '06
Country/Territory	United States
City	Atlanta, GA
Period	4/3/06 → 4/7/06

ASJC Scopus subject areas

Software
Signal Processing
Information Systems

Access to Document

10.1109/ICDE.2006.20

Cite this

Nambiar, U & Kambhampati, S 2006, Answering imprecise queries over autonomous Web databases. in Proceedings of the 22nd International Conference on Data Engineering, ICDE '06., 1617413, Proceedings - International Conference on Data Engineering, vol. 2006, pp. 45, 22nd International Conference on Data Engineering, ICDE '06, Atlanta, GA, United States, 4/3/06. https://doi.org/10.1109/ICDE.2006.20

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AB - Current approaches for answering queries with imprecise constraints require user-specific distance metrics and importance measures for attributes of interest - metrics that are hard to elicit from lay users. We present AIMQ, a domain and user independent approach for answering imprecise queries over autonomous Web databases. We developed methods for query relaxation that use approximate functional dependencies. We also present an approach to automatically estimate the similarity between values of categorical attributes. Experimental results demonstrating the robustness, efficiency and effectiveness of AIMQ are presented. Results of a preliminary user study demonstrating the high precision of the AIMQ system is also provided.

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ER -

Answering imprecise queries over autonomous Web databases

Abstract

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