Digitale Medien
Springer
Journal of intelligent information systems
9 (1997), S. 181-202
ISSN:
1573-7675
Schlagwort(e):
Relational database
;
probabilistic reasoning
;
knowledge representation
;
generalized acyclic join dependency
;
belief networks
Quelle:
Springer Online Journal Archives 1860-2000
Thema:
Informatik
Notizen:
Abstract Probabilistic methods provide a formalism for reasoning aboutpartial beliefs under conditions of uncertainty. This paper suggests a newrepresentation of probabilistic knowledge. This representation encompassesthe traditional relational database model. In particular, it is shown thatprobabilistic conditional independence is equivalent to the notion of generalized multivalued dependency. More importantly,a Markov network can be viewed as a generalized acyclic joindependency. This linkage between these two apparently different butclosely related knowledge representations provides a foundation fordeveloping a unified model for probabilistic reasoning and relationaldatabase systems.
Materialart:
Digitale Medien
URL:
http://dx.doi.org/10.1023/A:1008603515938
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