发表机构
Faculty of Health, Education and Psychology, Victoria University of Wellington; College of Medicine and Public Health, Flinders University; Centre for Health Policy, The University of Melbourne（维多利亚大学健康、教育与心理学学院; 弗林德斯大学医学院和公共卫生学院; 墨尔本大学健康政策中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对公共信息请求记录混杂多类数据的问题，提出FOI-O可复用流程建模与验证框架，基于新西兰相关法案实现首个验证配置文件，提供多类标准化语义与流程工具资产。
AI 中文摘要
公共官方信息请求记录包含流程信号，可支持研究、工作流评审及人工监督的代理辅助，但这类记录同时混杂了已观测的通信内容、平台状态、推断事件与法律结果。FOI-O是一套面向信息自由管理的可复用流程建模方法与验证基础设施。基于新西兰《官方信息法案》构建的FOI-O NZ是当前代码库中唯一已实现并通过验证的司法管辖区配置文件。更广泛的复用属于设计目标与未来验证方向，并非本包的实证成果。FOI-O首先对请求记录建模：通过请求配置文件、已观测通信事件、受控词汇表与来源追溯，明确展示观测内容及其变更轨迹。之后新增评审队列、发布元数据、受限代理契约、语义资产、流程模型产物以及仅用于测试的流程挖掘交换示例。具有法律意义结果的人工认证环节不纳入自动化工具的覆盖范围。该代码库提供JavaScript对象表示法（JSON）模式契约、Python数据模型、简单知识组织系统（SKOS）词汇表、Web本体语言（OWL）、资源描述框架（RDF）与形状约束语言（SHACL）资产，配套支持确定性示例、发布元数据、质量门禁、测试、业务流程模型与符号（BPMN）、佩特里网标记语言（PNML）流程模型、符合XES与OCEL风格的测试固件导出文件，以及规划中的新西兰标注任务集清单。本文阐述了该项目的动机、架构、本体开发方法、验证证据与实现边界。本项目不提供法律建议，不属于官方政府出版物，不对信息发布、拒绝公开、编辑删减、收费、时限延长、移交、投诉或公开结果进行认证。
英文摘要
Public official-information request records contain process signals. They can support research, workflow review, and analyst-led assessment. Yet they also mix observed correspondence, platform states, inferred events, and legal outcomes. FOI-O is a reusable process-modelling method and verification infrastructure for Freedom of Information administration. It is a global model that began with the New Zealand Official Information Act and has since iterated through the Australian Commonwealth and New South Wales settings. The NZ package remains the mature reference implementation; the Australian work remains provisional pending empirical evaluation and jurisdiction-specific legal validation. FOI-O models request records, observed correspondence, controlled vocabularies, provenance, review queues, release metadata, and bounded analysis rules. Legally meaningful outcomes require certification by an authorised decision-maker. Its typed operational and semantic contracts are supported by deterministic examples, process models, fixture-only process-mining exports, quality gates, and tests. This article describes the motivation, architecture, ontology-development method, its versioned extraction and review protocol, how related repositories share data and evidence, and how the method may be adapted for Australia, validation evidence, and implementation boundaries. The project is not legal advice, is not an official government publication, and does not certify release, refusal, redaction, charging, extension, transfer, complaint, or publication outcomes.
Comments22 pages, 4 figures, 9 tables, ancillary supplement; revised manuscript with expanded provenance, versioning, and navigation documentation
