Deriving Uncertain Knowledge in Knowledge Graphs Under Theoretical Mapping of Heuristics
This paper proposes a deterministic, explainable framework for validating uncertain entities during Knowledge Graph (KG) expansion. The contribution is conceptual and formal: we present the framework and demonstrate its internal mathematical coherence, while empirical evaluation is explicitly deferred to future work. S...