Run-time Class Generation: Algorithms for Intersection of Homogeneous and Inhomogeneous Classes

Abstract

The ability to react on and adapt to challenges of the working environment is important and desired characteristic of modern knowledge-based systems. Knowledge extraction from different data sources and representation of heterogeneous knowledge are illustrative examples of such challenges. For effective solving of these tasks knowledge-based systems should be able to generate (create) new classes of objects dynamically, when required. Therefore, the algorithms for dynamic creation of new classes of objects via computing the homogeneous and inhomogeneous intersection of homogeneous and inhomogeneous classes of objects are proposed in the paper. New classes of objects, established via proposed algorithms, define set of types, which determine heterogeneous collections of objects. Proposed approach provides an ability to check the existence of common parts for different classes of objects and to create new classes of objects dynamically, based on previously defined ones. Classes, created using proposed approach, could be integrated within the knowledge base and used for further construction of conceptual hierarchies.