A generalised relational database model

Author

Yu, Hairong ; Ramer, Arthur

Author_Institution

Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia

Volume

2

fYear

1998

fDate

11-14 Oct 1998

Firstpage

1576

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1062-922X

Print_ISBN

0-7803-4778-1

Type

conf

DOI

10.1109/ICSMC.1998.728112

Filename

728112