KL-ONE

KL- ONE is a knowledge representation system in the tradition of semantic networks and frames of artificial intelligence. KL -ONE is a structured inheritance network.

The system will attempt to avoid semantic vagueness in semantic network representations and to represent conceptual information explicitly as a structured inheritance network.

There exists a whole family of KL -ONE -like systems.

Overview

Frames are called in KL -ONE concepts. This form hierarchies through the use of Subsume relations ( " includes Concept A Concept B " is equivalent to " Concept A is superclass of concept B" thus include upper classes subclasses). Multiple inheritance is also allowed. A concept is even if and only considered well-formed if its inherited properties of at least two different classes derived. Thus, all concepts, except the Start Concept ( basic concept, Topkonzept, includes all the others and has no properties ), at least one superclass.

And descriptions in KL- ONE are divided into two basic classes of concepts: primitive ( primitive ) and defined concepts ( defined). Primitives are domain concepts that are not fully defined. So if you have given all the properties of a concept, this is not enough to classify it can. And descriptions can also be regarded as incomplete definitions. Defined concepts, however, are complete definitions.

Are the properties of a given concept, so ask and descriptions constitute necessary and sufficient conditions to classify a concept.

The slot concept is called a role. Roles can have values, these values ​​are comparable to values ​​for slots in frames. There are different types of rolls that are used in different situations. The most common and most important role type is the generic role set whose meaning is to be occupied by more than one value.

Credentials

  • RJ Brachman, J. Schmolze: An Overview of the KL -ONE Knowledge Representation System. Cognitive Sci 9 (2 ), 1985.
  • DA Duce, GA Ringland: Approaches to Knowledge Representation, An Introduction. Research Studies Press, 1988. ISBN 0-86380-064-5.
  • Artificial intelligence
Hierarchy
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