Semantic Networks Modeling with Operand-Operator Structures in Association-Oriented Metamodel

Abstract

Semantic networks are nowadays one of the most frequently used knowledge representation method. In this paper authors present a novel approach towards the definition and semantics of semantic networks with the use of predefined primitives as key structure elements. The presented solution is a part of Semantic Knowledge Base project, in which it is used to store complex information such as facts and rules. This approach aims at increased expressiveness of knowledge representation with the higher level of clarity of message. It introduces not only a unique duality of nodes types, namely operators and operands, but also provides mechanisms such as multiplicity, quantifiers or modifiers possible to apply to each and every of network elements.