Object-Oriented Knowledge Extraction using Universal Exploiters
Dmytro Terletskyi

TL;DR
This paper analyzes and extends exploiters-based knowledge extraction methods, enabling the creation of complete class hierarchies and improving knowledge management efficiency.
Contribution
It introduces universal exploiters with proven features that expand basic classes and relations, forming complete lattices for enhanced knowledge representation.
Findings
Allows extension of class sets with finite new classes
Enables construction of class hierarchies with subsumption relations
Improves knowledge restoration and inheritance handling
Abstract
This paper contains analysis and extension of exploiters-based knowledge extraction methods, which allow generation of new knowledge, based on the basic ones. The main achievement of the paper is useful features of some universal exploiters proof, which allow extending set of basic classes and set of basic relations by finite set of new classes of objects and relations among them, which allow creating of complete lattice. Proposed approach gives an opportunity to compute quantity of new classes, which can be generated using it, and quantity of different types, which each of obtained classes describes; constructing of defined hierarchy of classes with determined subsumption relation; avoidance of some problems of inheritance and more efficient restoring of basic knowledge within the database.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
