The MMM Data Model -- A Normative Specification for Knowledge Interoperability in a Decentralisable Knowledge Commons

The MMM Data Model — A Normative Specification for Knowledge Interoperability in a Decentralisable Knowledge Commons

MMM 数据模型——去中心化知识共享中知识互操作性的规范说明

Many information systems are built around documents: self-contained units optimised for print production and linear reading. While effective for large-scale dissemination, the document-centric organisation constrains how knowledge can be structured, updated, shared, and reused. 许多信息系统都是围绕“文档”构建的：这些自包含的单元针对印刷生产和线性阅读进行了优化。虽然这种以文档为中心的组织方式在大规模传播方面行之有效，但它限制了知识的结构化、更新、共享和重用方式。

Formal approaches address some of these limitations but struggle to achieve widespread contribution and adoption due to their prioritisation of formal structure over other system properties such as human usability and scope. AI systems are reshaping document production, but without providing a unified portable alternative to traditional documents for humans’ expression and exchange of knowledge. 形式化方法解决了一些此类局限性，但由于它们优先考虑形式结构而非人类可用性和适用范围等其他系统属性，因此难以获得广泛的贡献和采用。人工智能系统正在重塑文档生产，但尚未为人类表达和交流知识提供一种统一且可移植的传统文档替代方案。

This paper presents MMM, a data model for knowledge documentation that emerged from the practical needs of interdisciplinary collaborative research, and positioned here within a comparative analysis of the design space of information systems. MMM combines a small set of normative constraints with the expressive freedom of free-text labels. 本文提出了 MMM，这是一种源于跨学科协作研究实际需求的知识文档数据模型，并将其置于信息系统设计空间的比较分析中进行定位。MMM 将一套少量的规范性约束与自由文本标签的表达自由度相结合。

It is designed for interoperability across disciplines, applications and deployments without requiring semantic convergence. A reference implementation and pilot deployment data demonstrate implementability and early usability. 它旨在实现跨学科、跨应用和跨部署的互操作性，而无需语义趋同。参考实现和试点部署数据证明了其可实现性和初步的可用性。