@inproceedings{nandi2009hamster,
author = {Nandi, Arnab and Bernstein, Phil},
title = {HAMSTER: Using Search Clicklogs for Schema and Taxonomy Matching},
booktitle = {Proceedings of VLDB 2009},
year = {2009},
month = {August},
abstract = {We address the problem of unsupervised matching of schema information from a large number of data sources into the schema of a data warehouse. The matching process is the first step of a framework to integrate data feeds from thirdparty data providers into a structured-search engine’s data warehouse. Our experiments show that traditional schemabased and instance-based schema matching methods fall short. We propose a new technique based on the search engine’s clicklogs. Two schema elements are matched if the distribution of keyword queries that cause click-throughs on their instances are similar. We present experiments on large commercial datasets that show the new technique has much better accuracy than traditional techniques.},
publisher = {Very Large Data Bases Endowment Inc.},
url = {http://approjects.co.za/?big=en-us/research/publication/hamster-using-search-clicklogs-for-schema-and-taxonomy-matching/},
edition = {Proceedings of VLDB 2009},
}