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

IAFSE-SCAI: 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

@inproceedings{0d81e89a46b349f1944c9b261a530863,

title = "Answering imprecise queries over autonomous Web databases",

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.",

author = "Ullas Nambiar and Subbarao Kambhampati",

year = "2006",

doi = "10.1109/ICDE.2006.20",

language = "English (US)",

isbn = "0769525709",

series = "Proceedings - International Conference on Data Engineering",

pages = "45",

booktitle = "Proceedings of the 22nd International Conference on Data Engineering, ICDE '06",

}

TY - GEN

T1 - Answering imprecise queries over autonomous Web databases

AU - Nambiar, Ullas

AU - Kambhampati, Subbarao

PY - 2006

Y1 - 2006

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=33749610997&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33749610997&partnerID=8YFLogxK

U2 - 10.1109/ICDE.2006.20

DO - 10.1109/ICDE.2006.20

M3 - Conference contribution

AN - SCOPUS:33749610997

SN - 0769525709

SN - 9780769525709

T3 - Proceedings - International Conference on Data Engineering

SP - 45

BT - Proceedings of the 22nd International Conference on Data Engineering, ICDE '06

T2 - 22nd International Conference on Data Engineering, ICDE '06

Y2 - 3 April 2006 through 7 April 2006

ER -

Answering imprecise queries over autonomous Web databases

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this