ExeFuse

Gold definitionUpdated Apr 2, 2026

Definition

ExeFuse is a novel 'Fact-as-Program' paradigm for Domain-specific Knowledge Graph Fusion (DKGF). It enriches domain-specific KGs by treating general KG facts as latent semantic programs, mapping relations to granularity-aware operators, and verifying domain relevance via program executability on the target DKG.

At a glance

Executive summary

ExeFuse is a new method for enriching specialized knowledge graphs by integrating facts from general knowledge graphs. It treats each general fact as a small program and checks if that program can 'run' on the specialized graph to decide if it's relevant and at the right level of detail. This helps make domain-specific AI systems smarter and more comprehensive.

TL;DR

ExeFuse is a smart way to combine general knowledge with specialized knowledge graphs by treating general facts like tiny computer programs that must prove their relevance and fit.

Key points

Treats general knowledge graph facts as latent semantic programs to verify relevance and granularity.
Solves the challenges of high ambiguity in domain relevance and misalignment in knowledge granularity during KG fusion.
Used by researchers and engineers in knowledge graph construction, domain-specific AI, and knowledge representation.
Unlike simpler rule-based or embedding-based fusion, ExeFuse employs a programmatic verification for robust integration.
Represents a trend towards more sophisticated and verifiable methods for enriching specialized knowledge bases.

Use cases

Enriching a biomedical knowledge graph with general scientific facts to aid drug discovery.
Populating a legal knowledge graph with relevant common-sense and general legal principles.
Improving financial domain knowledge graphs by integrating general economic and market data.
Building comprehensive manufacturing knowledge graphs from general engineering and material science principles.
Enhancing environmental science knowledge graphs with broader ecological and geographical facts.