This standard 21/30421184 DC BS EN 17632. Building Information Modelling (BIM). Semantic Modelling and Linking (SML) is classified in these ICS categories:
- 35.240.67 IT applications in building and construction industry
This document discusses an integrated and unified approach for data aspects, specifically for assets in the built environment, using EIF terminology. The following data architecture (Figure 1) applies within each category. Figure 1 - Data architecture with typology (grey areas indicating the scope of this document) ... This document specifies: - a generic Top Level "M1: Data model" as common form; - a conceptual "L1: Data language" as common meta-model with four ‘linked data’-based concrete language bindings (SKOS, RDFS, OWL and SHACL), including: - a choice of RDF-based formats (to be used for all modelling and language levels); - a set of data modelling patterns (for identification, naming, handling of enumeration types, quantity modelling, asset decomposition, grouping, etc.). - a linking approach for interlinking data sets, interlinking data models and linking data sets and data models which are relevant within the built environment from many perspectives such as: - Building information modelling (BIM); - Geo-spatial information systems (GIS); - Systems engineering (SE) ); - Monitoring & control (M&C); - Electronic document management (EDM). This document does not specify a knowledge model since this is already available in ISO 12006-3. This document does not specify a meta-‘data language’ since this is already provided by the concrete RDF language bindings (being RDFS). The scope of this document in general excludes the following: - Business process modelling; - Software implementation aspects; - Data packaging and transportation/transaction aspects (handled by ISO TC59/SC13 Information container for document delivery (ICDD) respectively various information delivery manual (IDM) / information exchange requirements (EIR)-related initiatives); - Domain-specific (here: built environment-specific) content modelling in the form of concepts, attributes and relations at end-user level (the actual ontologies themselves) beyond a generic upper ontology and modelling patterns.