DocumentCode :
3208728
Title :
A semantic integrity framework: set restrictions for semantic groupings
Author :
Rundensteiner, Elke A. ; Bic, Lubomir ; Gilbert, Jonathan ; Yin, Meng-Lai
Author_Institution :
Dept. of Inf. & Comput. Sci., California Univ., Irvine, CA, USA
fYear :
1991
fDate :
8-12 Apr 1991
Firstpage :
710
Lastpage :
717
Abstract :
Three of the most common fundamental groupings that are utilized in semantic database models are considered: set groupings, power set groupings, and Cartesian aggregation groupings. For each, useful restrictions that control its structure and composition are defined. This permits each grouping to capture more subtle distinctions of the concepts or situations in the application environment. The resulting set of restrictions forms a framework for integrity constraints in semantic data models. This framework is targeted towards advanced applications, such as computer-aided design, office automation, and artificial intelligence, which require the support of more sophisticated relationships among data than traditional database domains
Keywords :
data integrity; database management systems; Cartesian aggregation groupings; application environment; artificial intelligence; computer-aided design; integrity constraints; office automation; semantic database models; semantic groupings; semantic integrity framework; set groupings; set restrictions; Character recognition; Computer science; Data models; Design automation; Erbium; Relational databases; Solids; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 1991. Proceedings. Seventh International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-8186-2138-9
Type :
conf
DOI :
10.1109/ICDE.1991.131520
Filename :
131520
Link To Document :
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