New Zealand FOI process modelling ontology released

Researchers have developed FOI-O, a new ontology and verification framework designed to model and analyze processes related to Freedom of Information (FOI) requests. This system, specifically tailored for New Zealand's Official Information Act, aims to structure and clarify the complex data within FOI request records, which often mix correspondence, system states, and legal outcomes. FOI-O provides a standardized method for representing request profiles, events, and metadata, with supporting assets in formats like JSON, Python, SKOS, OWL, RDF, and SHACL, alongside process models and export examples. AI

IMPACT This ontology could enable more structured analysis of official information requests, potentially aiding in the development of AI agents for workflow review or human-supervised assistance.

RANK_REASON The item is an academic paper detailing a new ontology and verification methods for a specific domain. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CL →

• Business Process Model and Notation
• JSON
• New Zealand
• Ocel
• Official Information Act (Schedule 1) Order 2006
• Petri Net Markup Language
• Python
• Resource Description Framework
• SHACL
• Web Ontology Language
• Xestia

• paper
• other

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