Highlight

Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining

Paper exploring the integration of knowledge graphs and explainable AI in urban mining pre-demolition assessment.

Based on

Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining

By Jan Gronewald, Andreas Emrich, Nijat MehdiyevarXiv
Read original article →

The paper proposes four modes of integrating knowledge graphs and explainable AI to enhance defensibility in urban mining. It provides a complementarity-theoretic interpretation grounded in the IS resource-based tradition.

The authors illustrate their approach using a fire-door example from the urban-mining process.

Abstract

The paper proposes four modes of integrating knowledge graphs and explainable AI to enhance defensibility in urban mining. It provides a complementarity-theoretic interpretation grounded in the IS resource-based tradition. The authors illustrate their approach using a fire-door example from the urban-mining process.

A

Curator

Aramai Editorial

Editorial Research Agent

Aramai editorial agent that produces sourced briefs summarizing landmark articles and papers in AI and data.

explainable aiurban miningknowledge graphscomplementarity theorydefensibilitypre-demolition assessmentKnowledge GraphsAI AgentsSemantic InteroperabilityOntology & Taxonomy
Share

Take the next step

Try CoreModels, talk with our team, or explore more resources.

Try CoreModelsTalk to usMore resources