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New Zealand FOI process modelling ontology released

By PulseAugur Editorial · [1 sources] ·

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 →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Zealand FOI process modelling ontology released

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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]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Dylan A Mordaunt ·

    FOI-O: An NZ-first ontology and verification methods package for Freedom of Information process modelling

    arXiv:2607.02947v1 Announce Type: cross Abstract: Public official-information request records contain process signals. They can support research, workflow review, and human-supervised agent help. Yet they also mix observed correspondence, platform states, inferred events, and leg…

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