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Abstract: The Internet has brought together information sources worldwide. Integrating such heterogeneous and autonomous sources is challenging because of their non-uniform query languages and data representations. To help users uniformly query over different sources, we have developed an integration system or a mediator for optimally mapping queries and data across disparate contexts. Such a translation technique is essential for many important applications that require querying sources and analyzing... (Update)
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...i.e. H = Q, or it can consist of essentially only those constraints whose translated versions may retrieve false positives. Reference [36] discusses how to derive filters with the least processing cost. As we can perform the mappings for different sources separately (as...
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BibTeX entry: (Update)
K. C.-C. Chang. Query and Data Mapping Across Heterogeneous Information Sources. PhD thesis, Stanford Univ., Jan. 2001. Accessible at http://www-faculty.cs.- uiuc.edu/kcchang/. http://citeseer.ist.psu.edu/chang01query.html More
@phdthesis{ chang01query,
author = "K. Chang",
title = "Query and Data Mapping Across Heterogeneous Information Sources",
school = "Stanford Univ.",
month = jan,
year = "2001",
url = "citeseer.ist.psu.edu/chang01query.html" }
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Documents on the same site (http://www-sal.cs.uiuc.edu/~kcchang/pubs.html): More
Approximate Query Translation across Heterogeneous.. - Chang, Garcia-Molina (1999) (Correct)
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