DocumentCode :
2496359
Title :
Key equivalence in heterogeneous databases
Author :
Pu, Calton
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
fYear :
1991
fDate :
7-9 Apr 1991
Firstpage :
314
Lastpage :
316
Abstract :
Semantic heterogeneity in heterogeneous databases (HDBs) has been recognized as a difficult problem. One of the probable causes of the little progress made in this area is the lack of well-defined subproblems that individual researchers can attack and achieve results. The author formulates the key equivalence problem in HDBs. By its nature there is no single algorithm that can solve the general key equivalence problem, but the author proposes a framework (a meta-algorithm) to approach it. He applies the framework to a concrete instance of the problem, the name matching problem and describes his experience so far
Keywords :
database theory; distributed databases; heterogeneous databases; key equivalence; meta-algorithm; name matching; semantic heterogeneity; Artificial intelligence; Computer science; Concrete; Databases; Humans; Instruments; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Interoperability in Multidatabase Systems, 1991. IMS '91. Proceedings., First International Workshop on
Conference_Location :
Kyoto
Print_ISBN :
0-8186-2205-9
Type :
conf
DOI :
10.1109/IMS.1991.153727
Filename :
153727
Link To Document :
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