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Ontology for Policing: Conceptual Knowledge Learning for Semantic Understanding and Reasoning in Law Enforcement Reports

arXiv cs.CL · 2026-05-18 Cached

This paper proposes a symbolic framework that converts redacted police narratives into evidence-linked facts using ontology, semantic parsing (AMR), and reasoning, enabling structured querying of incident details that are typically only available in free text.

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