orglk

orglk is a hypothetical open-source framework for modeling and accessing organizational knowledge as a graph. It aims to help organizations capture relationships between people, teams, projects, documents, and processes in a machine-readable form.

Conceptually, orglk uses a graph-based data model where entities are nodes and relationships are edges. This allows complex queries such as lineage, dependency, and role-based access relationships.

Architecture of orglk includes a core graph store, a query layer, and a set of adapters to common data sources such as HR systems, project management tools, and file stores. It provides language bindings for popular programming languages and an API for programmatic access.

Data interoperability and governance are central to orglk, with support for export and import in RDF and JSON-LD, along with provenance tracking, versioning, and access control to enforce policy and security.

Use and adoption of orglk span corporate knowledge management, compliance, research administration, and organizational analytics, where the goal is to improve information discovery and decision-making through connected data.

Status and licensing are typical considerations for orglk in community-driven projects, with ongoing development, community contributions, and updates that reflect evolving organizational needs.

See also: knowledge graph, enterprise knowledge management, data governance.