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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.

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Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining

By Jan Gronewald, Andreas Emrich, Nijat MehdiyevarXiv
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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.

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explainable aiurban miningknowledge graphscomplementarity theorydefensibilitypre-demolition assessmentKnowledge GraphsAI AgentsSemantic InteroperabilityOntology & Taxonomy
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Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining | Aramai