A Foundational Schema.org Mapping for a Legal Knowledge Graph: Representing Brazilian Legal Norms as FRBR Works | Zenodo Skip to main Communities My dashboard Log in Sign up Linked Data Published August 4, 2025 | Version v1 Preprint Open A Foundational Schema.org Mapping for a Legal Knowledge Graph: Representing Brazilian Legal Norms as FRBR Works Authors/Creators De Martim, Hudson (Researcher) 1 Show affiliations 1. Federal Senate Description 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. Files Work2Legislation_v1.pdf Files (285.1 kB) Name Size Download all Work2Legislation_v1.pdf md5:0d337bcb101f3880e27f045cb893ee24 285.1 kB Preview Download 84 Views 28 Downloads Show more details All versions This version Views Total views 84 84 Downloads Total downloads 28 28 Data volume Total data volume 8.3 MB 8.3 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords Law and technology Legal Knowledge Graph Schema.org FRBR Legal Data Legal Tech Open Government Data EuroSciVoc Artificial intelligence MeSH Information Systems/standards Semantic Web/legislation & jurisprudence Details DOI DOI Badge DOI 10.5281/zenodo.16737538 Markdown [](https://doi.org/10.5281/zenodo.16737538) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.16737538.svg :target: https://doi.org/10.5281/zenodo.16737538 HTML <a href="https://doi.org/10.5281/zenodo.16737538"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.16737538.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.16737538.svg Target URL https://doi.org/10.5281/zenodo.16737538 Resource type Preprint Publisher Zenodo Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 23, 2026 Modified April 23, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies