Integrating web query results: Holistic schema matching

Shui Lung Chuang, Kevin Chen Chuan Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The emergence of numerous data sources online has presented a pressing need for more automatic yet accurate data integration techniques. For the data returned from querying such sources, most works focus on how to extract the embedded structured data more accurately. However, to eventually provide an integrated access to these query results, a last but not least step is to combine the extracted data coming from different sources. A critical task is finding the correspondence of the data fields between the sourcesa problem well known as schema matching. Query results are a small and biased sample set of instances obtained from sources; the obtained schema information is thus very implicit and incomplete, which often prevents existing schema matching approaches from performing effectively. In this paper, we develop a novel framework for understanding and effectively supporting schema matching on such instancebased data, especially for integrating multiple sources. We view discovering matching as constructing a more complete domain schema that best describes the input data. With this conceptual view, we can leverage various data instances and observed regularities seamlessly with holistic, multiplesource schema matching to achieve more accurate matching results. Our experiments show that our framework consistently outperforms baseline pairwise and clustering-based approaches (raising F-measure from 50-89% to 89-94%) and works uniformly well for the surveyed domains.

Original languageEnglish (US)
Title of host publicationProceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08
Number of pages10
StatePublished - 2008
Event17th ACM Conference on Information and Knowledge Management, CIKM'08 - Napa Valley, CA, United States
Duration: Oct 26 2008Oct 30 2008

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings


Other17th ACM Conference on Information and Knowledge Management, CIKM'08
Country/TerritoryUnited States
CityNapa Valley, CA

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)


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