Clasificrii

Clasificrii is a fictional classification framework described in speculative literature and educational exercises to illustrate the complexities of multi-criteria categorization. It is designed to combine hierarchical taxonomies with facet-based attributes and rule-based inference to demonstrate how items can be organized according to multiple dimensions.

In Clasificrii, the architecture comprises a taxonomy core, a facet (attribute) registry, an inference engine, and a rule base. The taxonomy core defines primary categories and subcategories, while the facet registry stores attributes associated with items. The inference engine applies rules to assign items to categories and to suggest alternative classifications when context changes.

Classification is performed by constructing an attribute profile for each item, then evaluating it against the rule base. Items may belong to multiple branches or be reassigned as attributes are updated or as contextual priorities shift. The framework emphasizes transparency by recording justification for each classification and by allowing users to inspect the criteria used in decisions.

Potential applications are described in educational and theoretical contexts to demonstrate design trade-offs in information organization, and in simulations of digital libraries, museum catalogs, and knowledge graphs. Clasificrii serves as a pedagogical tool rather than a prescriptive standard, illustrating how multi-criteria approaches can influence naming, grouping, and retrieval.

In published discussions, Clasificrii is presented as a hypothetical model with variations across sources. It is not adopted as an official standard and has no formal governance, but it provides a vocabulary for comparing different approaches to complex classification and for exploring the implications of context-sensitive categorization. Related concepts include taxonomy, ontology, faceted classification, and knowledge graphs.