Inheritance in Object-Oriented Knowledge Representation
This work addresses challenges in knowledge representation for AI and software engineering, but it appears incremental as it builds on existing models with specific improvements.
The paper tackles the problem of inheritance mechanisms in object-oriented knowledge representation models, introducing new inheritance types and a classification to address issues like exceptions, redundancy, and ambiguity, particularly in object-oriented dynamic networks and their fuzzy extensions.
This paper contains the consideration of inheritance mechanism in such knowledge representation models as object-oriented programming, frames and object-oriented dynamic networks. In addition, inheritance within representation of vague and imprecise knowledge are also discussed. New types of inheritance, general classification of all known inheritance types and approach, which allows avoiding in many cases problems with exceptions, redundancy and ambiguity within object-oriented dynamic networks and their fuzzy extension, are introduced in the paper. The proposed approach bases on conception of homogeneous and inhomogeneous or heterogeneous class of objects, which allow building of inheritance hierarchy more flexibly and efficiently.