Kaznd

Kaznd is an open-source software project that provides a modular platform for building, storing, and querying knowledge graphs. It aims to help researchers and developers integrate heterogeneous data sources, reason about inferred connections, and share structured knowledge across applications. The project emphasizes data provenance, interoperability, and extensibility.

Originating as a collaborative effort among researchers in data science and semantic technologies, kaznd began in 2018 with experimental prototypes. The first stable public release appeared in 2020, followed by a major 1.0 release in 2022. Development is community-led, with governance via an online forum and a contributor license agreement.

Kaznd uses a modular, plugin-based architecture. Core components include a graph storage layer, a data-ingestion pipeline, a query and reasoning engine, and an API layer. The platform supports multiple data formats (RDF-like triples, JSON-LD, tabular input) and provides connectors to relational databases, file stores, and external knowledge bases. It offers a declarative query language called KazQL and also exposes REST and GraphQL interfaces. Built-in reasoning and inference features enable lightweight rule-based expansion of knowledge graphs.

The data model supports both schema-free graph data and optional schemas to align with standard ontologies. Kaznd emphasizes provenance metadata, versioning, and reproducibility. It integrates with existing vocabularies and supports mapping between ontologies to enable interoperability across domains.

Users include academic researchers, data scientists, and software developers in education and industry pilots. The project maintains documentation, example datasets, and tutorials to facilitate onboarding. As with many graph platforms, users note a learning curve and performance considerations when scaling to very large graphs.