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Abstract: New applications of information systems, such as electronic commerce and healthcare information systems, need to integrate a large number of heterogeneous databases over computer networks. Answering a query in these applications usually involves selecting relevant information sources and generating a query plan to combine the data automatically. As significant progress has been made in source selection and plan generation, the critical issue has been shifting to query optimization. This paper... (Update)
Context of citations to this paper: More
.... constraints from local constraints, or vice versa, even before user queries are posed As a related study, the recent work in [Hsu and Knoblock, 2000 ] presents a semantic query optimization approach to optimizing query plans of heterogeneous multidatabase systems. It...
.... knowledge that has been discovered using data mining techniques can be used for query optimization [HHCF96, Hsu96, HK96, Hsu97, HK98, HK00, Kin81b, LS95, MC96, SHKC93, YSP97, YS89] A number of heuristics have been proposed that take advantage of association rules in...
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BibTeX entry: (Update)
Chun-Nan Hsu and Craig A. Knoblock. Semantic query optimization for query plans of heterogeneous multidatabase systems. Knowledge and Data Engineering, 12(6):959--978, 2000. http://citeseer.ist.psu.edu/hsu99semantic.html More
@article{ hsu00semantic,
author = "Chun-Nan Hsu and Craig A. Knoblock",
title = "Semantic Query Optimization for Query Plans of Heterogeneous Multidatabase Systems",
journal = "Knowledge and Data Engineering",
volume = "12",
number = "6",
pages = "959-978",
year = "2000",
url = "citeseer.ist.psu.edu/hsu99semantic.html" }
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