Abstract

The Core Ontology for Official Statistics (COOS) proposes an integrated view of some of the main components of the ModernStats business models. COOS leverages the Web Ontology Language (OWL) to model and uniquely identify individuals and classes of objects representing statistical activities, products and organizations, thereby providing a formal representation of models like the GSBPM or GAMSO.

COOS also provides links and correspondences between the ModernStats models, and between those and external models like SKOS, PROV-O and others. This allows to concretely use COOS to represent examples of statistical processes in a standard and machine-actionable way.

Apart from the OWL model, COOS consists of a specification, a naming policy guide and a governance document. This package underwent expert and public reviews and will be completed in the future with use case descriptions. The overall vision brought by COOS makes it a good instrument to coordinate the evolution of the ModernStats models and to qualify and dispatch the feedback received from their users.