Title :
A generalised relational database model
Author :
Yu, Hairong ; Ramer, Arthur
Author_Institution :
Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia
Abstract :
Information provided by database management systems is frequently used as an input to decision making and problem solving in uncertain circumstances. Accordingly, an intelligent database which has uncertain knowledge processing reflects the user´s perception of real world requirements. This paper aims to describe a theoretical basis of an intelligent database which is able to represent, manipulate and reason with uncertainty in actual life. The model called Uncertain Relational Database (URD), a generalised relational database model, is formalised by means of logic theories based on a two-sorted first-order probabilistic language in order to have a solid, powerful and unifying retrieval mechanism
Keywords :
database theory; deductive databases; generalisation (artificial intelligence); inference mechanisms; probabilistic logic; problem solving; relational databases; uncertainty handling; URD; Uncertain Relational Database; decision making; first-order probabilistic language; formal logic; generalised relational database model; intelligent database; problem solving; reasoning; retrieval mechanism; two-sorted language; uncertain knowledge processing; Australia; Computer science; Data engineering; Deductive databases; Engineering management; Image databases; Probabilistic logic; Relational databases; Solid modeling; Uncertainty;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.728112
