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Knowledge Organization Infrastructure

Orion Reed and Luke Miller, unveil BlockScience's Knowledge Organization Infrastructure. The goals include enhancing the infrastructure and creating tools for effective reasoning about knowledge systems. Design principles are explored, focusing on Reference Identifiers (RIDs), objects, and temporal identity. The talk emphasizes the importance of referencing, supporting diverse perspectives, and avoiding a singular truth. Our team has pursued key goals, such as enhancing organizational knowledge infrastructure and crafting advanced tools for reasoning about knowledge systems. The design principles adopted underscore the importance of distinguishing between representations and reality, accommodating diverse perspectives without imposing a "single source of truth," and fostering flexibility in supporting varied organizational approaches. The theoretical exploration delves into concepts like digital objects as references and identity grounded in agreement on sameness and difference across time and space. Protocol design considerations encompass reference identifiers, assertions about object relations, representation of identity between objects, and mappings between object groups. The robust infrastructure developed comprises a sensor array for information observation, user-friendly interfaces for data access, a potent graph database backend for storing object relations, and an emphasis on extensibility, allowing for the seamless addition of new object types and reference mechanisms. This comprehensive approach marks a significant leap forward in reshaping how we organize, represent, and interact with knowledge systems For more information about KOI: 1.   / towards-knowledge-networks   2.   / objects-as-reference-toward-robust-first-p...   ►Follow and Subscribe   / block_science     / block   https://www.youtube.com/channel/UCPeP... Discover more at https://block.science/ About BlockScience BlockScience® is a complex systems engineering, R&D, and analytics firm. Our goal is to combine academic-grade research with advanced mathematical and computational engineering to design safe and resilient socio-technical systems. We provide engineering, design, and analytics services to a wide range of clients, including for-profit, non-profit, academic, and government organizations, and contribute to open-source research and software development.