All ontologies developed in the SCOPE research project are available and documented online. Click on the titles to find out more.

The Building Product Ontology defines concepts to describe (building) products in a schematic way. It provides methods to describe assembly structures and component interconnections, and attach properties to any component without restricting their types, as is often the case in template-driven product descriptions. To allow the description of complex properties, it also contains terms for unordered, two-dimensional lists.

The openCASCADE ontology (occ) aims for representing openCASCADE in RDF.

The Ontology for Managing Geometry (OMG) is an ontology for attaching geometry descriptions to their corresponding things (e.g. building objects). The OMG is designed to provide three levels of adding the geometry descriptions which can be used and combined flexibly. The levels are designed to enable the attachment of metadata and comprise of the following functionalities:

    Level 1: Direct connections between things and their geometry descriptions using either an object property for RDF-based geometry descriptions or a datatype property for non-RDF-based geometry descriptions resp. links to external files.

    Level 2: Introduction of an intermediate node between the things and their geometry descriptions. By reifying the geometry description, handling of multiple geometry descriptions of the same things is empowered, metadata (as tags) can be added and dependencies between geometries can be modelled.

    Level 3: Introduction of an intermediate node between the reified geometry and the geometry description to add geometry states. Thus, the version history of a geometry description can be described and stored.

The ontology for object oriented programming (oop) aims for specifying all programming terms in RDF.

The Ontology for Parametric Systems (OPS) aims to create a meta structure for parametric systems described in RDF without predefining the definition schema of the parametric dependencies themselves. OPS introduces concepts to define parameters as constants and variables and relate them to constraints that make use of the variables, as well as concepts to attach the description of the parametric dependencies to the singular constraints and group constraints in systems.

The Teddy Ontology (TDY) aims to create a structure for structural analysis described in RDF.