A Foundational Schema.org Mapping for a Legal Knowledge Graph: Representing Brazilian Legal Norms as FRBR Works

• URL: http://arxiv.org/abs/2508.00827v2
• Date: Tue, 05 Aug 2025 10:39:24 GMT
• Title: A Foundational Schema.org Mapping for a Legal Knowledge Graph: Representing Brazilian Legal Norms as FRBR Works
• Authors: Hudson de Martim,
• Abstract summary: Structuring legal norms for machine readability is a critical prerequisite for building advanced AI and information retrieval systems.<n>This paper proposes a mapping for the abstract legal Work to the foundational schema.org/Legislation vocabulary.<n>This structured, formal approach provides the essential first step toward creating a deterministic and verifiable knowledge graph.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Structuring legal norms for machine readability is a critical prerequisite for building advanced AI and information retrieval systems, such as Legal Knowledge Graphs (LKGs). Grounded in the Functional Requirements for Bibliographic Records (FRBR) model, this paper proposes a foundational mapping for the abstract legal Work - which is materialized as the Norm node in our legal Graph RAG framework - to the interoperable schema.org/Legislation vocabulary. Using the Normas.leg.br portal as a practical case study, we demonstrate how to describe this Work entity via JSON-LD, considering stable URN identifiers, inter-norm relationships, and lifecycle properties. This structured, formal approach provides the essential first step toward creating a deterministic and verifiable knowledge graph, which can serve as a formalized "ground truth" for Legal AI applications, overcoming the limitations of purely probabilistic models.

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