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cs.AI2026
Domain-Contextualized Inference: A Computable Graph Architecture for Explicit-Domain Reasoning
Chao Li, Yuru Wang, Chunyi Zhao
We establish a computation-substrate-agnostic inference architecture in which domain is an explicit first-class computational parameter. This produces domain-scoped pruning that re…
cs.AI2026
Domain-constrained knowledge representation: A modal framework
Chao Li, Yuru Wang, Chunyi Zhao
Knowledge graphs store large numbers of relations efficiently, but they remain weak at representing a quieter difficulty: the meaning of a concept often shifts with the domain in w…
cs.AI2025
Domain-Contextualized Concept Graphs: A Computable Framework for Knowledge Representation
Chao Li, Yuru Wang
Traditional knowledge graphs are constrained by fixed ontologies that organize concepts within rigid hierarchical structures. The root cause lies in treating domains as implicit co…