Defeasible Reasoning with Knowledge Graphs
This work addresses the problem of imperfect knowledge representation for Semantic Web applications, but it is incremental as it builds on existing argumentation theory and lacks concrete implementation results.
The paper tackles the challenge of handling uncertain and context-dependent knowledge in the Semantic Web by introducing an intuitive notation and model for defeasible reasoning, relating it to argumentation theory and comparing it to deductive logic.
Human knowledge is subject to uncertainties, imprecision, incompleteness and inconsistencies. Moreover, the meaning of many everyday terms is dependent on the context. That poses a huge challenge for the Semantic Web. This paper introduces work on an intuitive notation and model for defeasible reasoning with imperfect knowledge, and relates it to previous work on argumentation theory. PKN is to N3 as defeasible reasoning is to deductive logic. Further work is needed on an intuitive syntax for describing reasoning strategies and tactics in declarative terms, drawing upon the AIF ontology for inspiration. The paper closes with observations on symbolic approaches in the era of large language models.