Conceptsdo

Conceptsdo is a theoretical framework and data model designed to represent domain concepts and their associated actions within a unified knowledge representation. It combines declarative concept definitions with executable action blocks, referred to as the do component, enabling software to reason about entities and to perform specified procedures.

The goal is to bridge ontologies and procedural knowledge by providing constructs to define hierarchies, properties, and workflows in a single model.

Core elements include concept definitions, relationships, attributes, actions or do blocks, constraints, and rules. Concepts may form taxonomies; relationships express instance-of, part-of, or related-to connections; attributes capture qualitative and quantitative properties; do blocks encode operations, triggers, and sequences; constraints enforce validity; rules support inference and conditional execution.

Implementation approaches typically use graph-based representations or standard web vocabularies such as RDF and JSON-LD, with an execution layer built on a rules engine or a workflow engine. The design emphasizes a loose coupling between domain knowledge and execution logic to support reuse and interoperability.

Applications include knowledge bases for AI assistants, educational technology, decision support, automated workflows, and domain modeling for software design.

Criticism and challenges include lack of widely adopted standards, potential complexity, interoperability with existing ontologies, scalability, and the need for tooling to author and governance to maintain accuracy of do blocks.

Related topics include ontology, knowledge graph, schema, procedural knowledge, and rule-based systems.