TY - JOUR

T1 - Extraction and integration of partially overlapping web sources

AU - Bronzi, Mirko

AU - Crescenzi, Valter

AU - Merialdo, Paolo

AU - Papotti, Paolo

PY - 2013/8

Y1 - 2013/8

N2 - We present an unsupervised approach for harvesting the data exposed by a set of structured and partially overlapping data-intensive web sources. Our proposal comes within a formal framework tackling two problems: the data extraction problem, to generate extraction rules based on the input websites, and the data integration problem, to integrate the extracted data in a unified schema. We introduce an original algorithm, WEIR, to solve the stated problems and formally prove its correctness. WEIR leverages the overlapping data among sources to make better decisions both in the data extraction (by pruning rules that do not lead to redundant information) and in the data integration (by reflecting local properties of a source over the mediated schema). Along the way, we characterize the amount of redundancy needed by our algorithm to produce a solution, and present experimental results to show the benefits of our approach with respect to existing solutions.

AB - We present an unsupervised approach for harvesting the data exposed by a set of structured and partially overlapping data-intensive web sources. Our proposal comes within a formal framework tackling two problems: the data extraction problem, to generate extraction rules based on the input websites, and the data integration problem, to integrate the extracted data in a unified schema. We introduce an original algorithm, WEIR, to solve the stated problems and formally prove its correctness. WEIR leverages the overlapping data among sources to make better decisions both in the data extraction (by pruning rules that do not lead to redundant information) and in the data integration (by reflecting local properties of a source over the mediated schema). Along the way, we characterize the amount of redundancy needed by our algorithm to produce a solution, and present experimental results to show the benefits of our approach with respect to existing solutions.

UR - http://www.scopus.com/inward/record.url?scp=84891126419&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84891126419&partnerID=8YFLogxK

U2 - 10.14778/2536206.2536209

DO - 10.14778/2536206.2536209

M3 - Article

AN - SCOPUS:84891126419

VL - 6

SP - 805

EP - 816

JO - Proceedings of the VLDB Endowment

JF - Proceedings of the VLDB Endowment

SN - 2150-8097

IS - 10

ER -