Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining
Pre-demolition assessment, the regulated audit process at the heart of urban mining, is an information process in which AI support must serve qualified auditors who remain accountable for the decisions taken. The relevant unit of value is not prediction accuracy alone, but the defensibility of the supported decisions: their legibility, plausibility, sourcing, and contestability. Explainable AI techniques and domain knowledge graphs each address parts of this requirement, and existing taxonomies have catalogued their integration. The literature is descriptively rich but structurally under-speci
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%semantica-agi/semantica →
- PossiblePossibly related (embedding) · 47%British Police Built a Sprawling Crime-Prediction Machine. Some Results Couldn’t Be Trusted →
- PossiblePossibly related (embedding) · 46%RapierCraftStudios/ForgeDock →
- PossiblePossibly related (embedding) · 45%dchatterjee01-prog/analyticaos →
- LinkedLinked via arxiv author · 85%Jan Gronewald →
“Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining”
- LinkedLinked via arxiv author · 85%Andreas Emrich →
“Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining”
- LinkedLinked via arxiv author · 85%Nijat Mehdiyev →
“Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining”