Exploiters-Based Knowledge Extraction in Object-Oriented Knowledge
  Representation
  This paper contains the consideration of knowledge extraction mechanisms of
such object-oriented knowledge representation models as frames, object-oriented
programming and object-oriented dynamic networks. In addition, conception of
universal exploiters within object-oriented dynamic networks is also discussed.
The main result of the paper is introduction of new exploiters-based knowledge
extraction approach, which provides generation of a finite set of new classes
of objects, based on the basic set of classes. The methods for calculation of
quantity of new classes, which can be obtained using proposed approach, and of
quantity of types, which each of them describes, are proposed. Proof that basic
set of classes, extended according to proposed approach, together with union
exploiter create upper semilattice is given. The approach always allows
generating of finitely defined set of new classes of objects for any
object-oriented dynamic network. A quantity of these classes can be precisely
calculated before the generation. It allows saving of only basic set of classes
in the knowledge base.
