NDLI: A probabilistic approach to query processing in heterogeneous database systems

Content Provider	IEEE Xplore Digital Library
Author	Shou-Cheng Tseng, F. Chen, A.L.P. Wei-Pang Yang
Copyright Year	1992
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Shou-Cheng Tseng, F.; Chen, A.L.P.; Wei-Pang Yang)
Abstract	In heterogeneous database systems, partial values can be used to resolve the interoperability problems, including domain mismatch, inconsistent data, and missing data. Performing operations on partial values may produce maybe tuples in the query result which cannot be compared. Thus, users have no way to distinguish which maybe tuple is the most possible answer. The concept of partial values is generalized to probabilistic partial values. The authors develop a full set of extended relational operators for manipulating relations containing probabilistic partial values. With this approach, the uncertain answer tuples of a query are associated with degrees of uncertainty. That provides users a comparison among maybe tuples and a better understanding on the query results. Besides, extended selection and join are generalized to alpha -selection and alpha -join, respectively, which can be used to filter out may be tuples with low possibilities-those which have possibilities smaller than alpha .
Starting Page	176
Ending Page	183
File Size	595458
Page Count	8
File Format	PDF
ISBN	0818626607
DOI	10.1109/RIDE.1992.227408
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-02-02
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Query processing Database systems Computer science Data engineering Distributed databases Database languages Uncertainty Filters Data processing Councils
Content Type	Text
Resource Type	Article

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