dklar

Dklar is a term used in theoretical computer science and software engineering to describe a family of lightweight declarative knowledge representation approaches. In its conceptual form, dklar emphasizes clear specification of facts, rules, and queries without procedural control flow. Proponents argue it supports reasoning over data rather than imperative manipulation.

The name dklar is a portmanteau of declarative and klar, drawing on the German word klar meaning clear. The term appears in discussions and speculative proposals dating from the mid-2010s and is not tied to a single official standard. As a result, different projects describe different syntax and semantics under the dklar umbrella.

Conceptually, dklar architectures separate data storage from rule evaluation. A typical dklar system exposes a minimal core that parses representations of facts and rules, builds a knowledge context, and evaluates queries through a forward or backward chaining engine. Implementations usually provide serialization to common formats and interfaces for integration with external tools.

Common use cases described for dklar include knowledge graphs, configuration validation, inference in domain models, and lightweight decision support. Examples often illustrate expressing simple rules such as "if condition A and B then conclude C" and querying for all entities that satisfy a property.

There is no widely adopted standard for dklar, and real-world implementations vary in syntax, performance characteristics, and compatibility with other data ecosystems. Researchers and developers generally treat it as an exploratory concept rather than a production technology, citing it as a point of comparison in debates about declarative knowledge representation.