prEN 17632

Building Information Modelling (BIM) - Semantic Modelling and Linking (SML)

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.

Semantischer Modellierungs- und Verknüpfungsstandard (SMLS) für die Datenintegration in der gebauten Umwelt

Dieses Dokument behandelt einen integrierten Ansatz und eine vereinheitlichte Vorgehensweise für Datenaspekte und insbesondere für Assets und gebaute Umwelt unter Verwendung der EIF Terminologie.
Die folgende Datenarchitektur (Bild 1) gilt innerhalb jeder Kategorie.
Dieses Dokument legt fest:
-   eine oberste Ebene „M1: Datenmodell“ als gemeinsame Form;
-   eine konzeptionelle Ebene „L1: Datensprache“ als gemeinsames Meta-Modell mit vier auf „vernetzten Daten“ basierenden konkreten Sprachbindungen (SKOS, RDFS, OWL und SHACL), einschließlich:
-   einer Auswahl RDF basierter Formate (anzuwenden für alle Modellierungs- und Sprachebenen);
-   ein Satz von Datenmodellierungsmustern (zur Kennzeichnung, Benennung, Handhabung von Aufzählungstypen, Größenmodellierung, Asset-Zergliederung usw.).
-   ein Vernetzungsansatz für die Vernetzung von Datensätzen, die Vernetzung von Datenmodellen und die Vernetzung von Datensätzen und Datenmodellen, die innerhalb der gebauten Umwelt aus verschiedenen Perspektiven relevant sind, wie etwa:
-   Bauwerksinformationsmodellierung (BIM);
-   Geoinformationssysteme (GIS);
-   Systems Engineering (SE) ;
-   Überwachung und Steuerung (M&C);
-   elektronisches Dokumentenmanagement (EDM).
Dieses Dokument legt kein Wissensmodell fest, da dies bereits in ISO 12006 3 verfügbar ist.
Dieses Dokument legt keine Metadatensprache fest, da diese bereits durch die konkreten RDF Sprachbindungen (die RDFS) bereitgestellt ist.
Der Anwendungsbereich dieses Dokuments schließt grundsätzlich Folgendes aus:
-   Modellierung von Geschäftsprozessen;
-   Aspekte der Softwareimplementierung;
-   Datenbündelungs- und Transport /Transaktionsaspekte [gehandhabt durch ISO TC59/SC13 Information container for document delivery (ICDD), respektive verschiedene Initiativen in Verbindung mit dem Handbuch der Informationslieferungen (IDM)/Informationsaustausch-Anforderungen (EIR)];
-   bereichsspezifische (hier: spezifisch für gebaute Umwelt) Inhaltsmodellierung in Form von Konzepten, Attributen und Relationen auf Endnutzer-Ebene (die tatsächlichen Ontologien selbst) über eine generische obere Ontologie und Modellierungsmuster hinaus.

Modélisation d'informations de la construction (BIM) - Modélisation et liens sémantiques (SML)

Le présent document décrit une approche intégrée et unifiée pour les aspects liés aux données, qui s'applique plus spécifiquement aux actifs de l'environnement bâti, en s'appuyant sur la terminologie de l'EIF.
L'architecture de données suivante (Figure 1) s'applique dans chaque catégorie.
Le présent document spécifie :
-   un haut niveau générique « M1 : Modèle de données » en tant que forme commune ;
-   un niveau conceptuel « L1 : Langage de données » en tant que métamodèle commun, avec quatre liaisons de langage concrètes (SKOS, RDFS, OWL et SHACL) basées sur des « données liées » et comprenant :
-   un choix de formats RDF (à utiliser pour tous les niveaux de modélisation et de langage) ;
-   un ensemble de schémas de modélisation des données (pour l'identification, le nommage, le traitement des types d'énumérations, la modélisation des quantités, la décomposition des actifs, le regroupement, etc.) ;
-   une approche de liaison pour lier des ensembles de données entre eux, lier des modèles de données entre eux et lier des ensembles de données et des modèles de données pertinents dans le contexte de l'environnement bâti, selon diverses perspectives, notamment :
-   la modélisation d'informations de la construction (BIM) ;
-   les systèmes d'information géospatiaux (SIG) ;
-   l'ingénierie des systèmes (SE) ) ;
-   la surveillance et le contrôle (M&C) ;
-   la gestion électronique de documents (GED).
Le présent document ne spécifie pas de modèle de connaissances, celui-ci étant déjà couvert par l'ISO 12006-3.
Le présent document ne spécifie pas de « méta-Langage de données», car il est déjà fourni par les liaisons de langage RDF concrètes (à savoir RDFS).
D'une manière générale, le domaine d'application du présent document exclut les aspects suivants :
-   la modélisation des processus métier ;
-   les aspects liés à l'implémentation de logiciels ;
-   les aspects liés au paquetage et au transport/à la transaction de données (traités par l'ISO TC59/SC 13 Conteneur d'informations pour la livraison de documents (ICDD), par le biais de divers manuels de livraison d'informations (IDM) et d'initiatives en lien avec les exigences d'échange d'informations (EIR), respectivement) ;
-   la modélisation de contenus propres à un domaine spécifique (ici, propres à l'environnement bâti), sous la forme de concepts, d'attributs et de relations au niveau de l'utilisateur final (les ontologies réelles proprement dites), au-delà des schémas d'ontologie et de modélisation génériques de niveau supérieur.

Informacijsko modeliranje gradenj (BIM) - Semantični standard za modeliranje in povezovanje (SML)

General Information

• Status: Not Published
• ICS: 35.240.67 - IT applications in building and construction industry
• Technical Committee: CEN/TC 442 - Building Information Modelling (BIM)
• Drafting Committee: CEN/TC 442/WG 4 - Support Data Dictionaries
• Current Stage: 4599 - Dispatch of FV draft to CMC - Finalization for Vote
• Due Date: 10-Jan-2022
• Completion Date: 10-Jan-2022
• Ref Project: oSIST prEN 17632:2021 - Building Information Modelling (BIM) - Semantic Modelling and Linking (SML)

Standards Content (sample)

SLOVENSKI STANDARD
oSIST prEN 17632:2021
01-maj-2021
Informacijsko modeliranje gradenj (BIM) - Semantični standard za modeliranje in
povezovanje (SML)
Building Information Modelling (BIM) - Semantic Modelling and Linking (SML)
Semantischer Modellierungs- und Verknüpfungsstandard (SMLS) für die
Datenintegration in der gebauten Umwelt

Modélisation d'informations de la construction (BIM) - Modélisation et liens sémantiques

(SML)
Ta slovenski standard je istoveten z: prEN 17632
ICS:
35.240.67 Uporabniške rešitve IT v IT applications in building
gradbeništvu and construction industry
91.010.01 Gradbeništvo na splošno Construction industry in
general
oSIST prEN 17632:2021 en,fr,de

2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.

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oSIST prEN 17632:2021
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oSIST prEN 17632:2021
DRAFT
EUROPEAN STANDARD
prEN 17632
NORME EUROPÉENNE
EUROPÄISCHE NORM
March 2021
ICS 35.240.67
English Version
Building Information Modelling (BIM) - Semantic
Modelling and Linking (SML)

Modélisation d'informations de la construction (BIM) - Semantischer Modellierungs- und

Modélisation et liens sémantiques (SML) Verknüpfungsstandard (SMLS) für die
Datenintegration in der gebauten Umwelt

This draft European Standard is submitted to CEN members for enquiry. It has been drawn up by the Technical Committee

CEN/TC 442.

If this draft becomes a European Standard, CEN members are bound to comply with the CEN/CENELEC Internal Regulations

which stipulate the conditions for giving this European Standard the status of a national standard without any alteration.

This draft European Standard was established by CEN in three official versions (English, French, German). A version in any other

language made by translation under the responsibility of a CEN member into its own language and notified to the CEN-CENELEC

Management Centre has the same status as the official versions.

CEN members are the national standards bodies of Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia,

Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Norway,

Poland, Portugal, Republic of North Macedonia, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and

United Kingdom.

Recipients of this draft are invited to submit, with their comments, notification of any relevant patent rights of which they are

aware and to provide supporting documentation.

Warning : This document is not a European Standard. It is distributed for review and comments. It is subject to change without

notice and shall not be referred to as a European Standard.
EUROPEAN COMMITTEE FOR STANDARDIZATION
COMITÉ EUROPÉEN DE NORMALISATION
EUROPÄISCHES KOMITEE FÜR NORMUNG
CEN-CENELEC Management Centre: Rue de la Science 23, B-1040 Brussels

© 2021 CEN All rights of exploitation in any form and by any means reserved Ref. No. prEN 17632:2021 E

worldwide for CEN national Members.
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Contents Page

European foreword ............................................................................................................................................ 4

Introduction .......................................................................................................................................................... 5

1 Scope .......................................................................................................................................................... 7

2 Normative references .......................................................................................................................... 8

3 Terms and definitions ......................................................................................................................... 9

4 Symbols and abbreviated terms .................................................................................................... 12

4.1 Symbols .................................................................................................................................................. 12

4.2 Abbreviated terms .............................................................................................................................. 12

5 Levels of Capability ............................................................................................................................ 14

6 Conceptual L1: Data language ........................................................................................................ 15

7 Concrete L1: Data language bindings .......................................................................................... 17

7.1 Introduction .......................................................................................................................................... 17

7.2 Identification: URI strategy ............................................................................................................. 20

7.3 Naming conventions .......................................................................................................................... 22

7.4 Annotation ............................................................................................................................................. 22

7.5 Enumeration datatypes .................................................................................................................... 23

7.6 Decomposition (instance level) ..................................................................................................... 24

7.7 Quantity kinds & units ...................................................................................................................... 24

7.8 Quantity modelling ............................................................................................................................. 24

7.9 Grouping................................................................................................................................................. 25

8 Generic M1: Top level data model ................................................................................................ 25

8.1 Top level model ................................................................................................................................... 25

8.2 Systems engineering extension ..................................................................................................... 29

9 Implementing SML in code .............................................................................................................. 31

10 Linking data .......................................................................................................................................... 31

10.1 Types of linking ................................................................................................................................... 31

10.2 Language-level language link sets ................................................................................................ 32

11 Conformance ......................................................................................................................................... 33

11.1 General.................................................................................................................................................... 33

11.2 Conformance on language level ..................................................................................................... 33

11.3 Conformance on semantic level ..................................................................................................... 33

Annex A (normative) Conceptual data language and top level data model ................................ 34

A.1 General.................................................................................................................................................... 34

A.2 in SKOS (Turtle format) .................................................................................................................... 34

A.3 in RDFS (Turtle format) .................................................................................................................... 41

A.4 in OWL (Turtle format) ..................................................................................................................... 51

A.5 in SHACL (Turtle format) ................................................................................................................. 64

Annex B (normative) Selected W3C RDF language subsets .............................................................. 80

B.1 General.................................................................................................................................................... 80

B.2 XML schema part 2: Datatypes 2nd edition ............................................................................... 80

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B.3 Resource description framework (RDF) .................................................................................... 80

B.4 Simple knowledge organization system (SKOS) ...................................................................... 81

B.5 Resource description framework schema (RDFS) .................................................................. 81

B.6 Web ontology language (OWL) ...................................................................................................... 82

B.7 Shape constraint language (SHACL) ............................................................................................. 83

Annex C (informative) Example in SKOS ................................................................................................. 86

C.1 General ................................................................................................................................................... 86

C.2 Example in SKOS (RDF/XML format) ........................................................................................... 86

C.3 Example in SKOS (Turtle format) ................................................................................................. 87

C.4 Example in SKOS (JSON-LD format) ............................................................................................. 89

Annex D (informative) Example in RDFS ................................................................................................. 93

D.1 General ................................................................................................................................................... 93

D.2 Example in RDFS (RDF/XML format) ........................................................................................... 93

D.3 Example in RDFS (Turtle format) ................................................................................................. 96

D.4 Example in RDFS (JSON-LD format) .......................................................................................... 100

Annex E (informative) Example in OWL ............................................................................................... 106

E.1 General ................................................................................................................................................ 106

E.2 Example in OWL (RDF/XML format) ......................................................................................... 106

E.3 Example in OWL (Turtle format) ............................................................................................... 109

E.4 Example in OWL (JSON-LD format) ........................................................................................... 112

Annex F (informative) Example in SHACL ............................................................................................ 120

F.1 General ................................................................................................................................................ 120

F.2 Example in SHACL (RDF/XML format) ..................................................................................... 120

F.3 Example in SHACL (Turtle format) ............................................................................................ 123

F.4 Example in SHACL (JSON-LD format) ........................................................................................ 127

Annex G (informative) Relationships with other asset/product modelling standards ...... 136

G.1 General ................................................................................................................................................ 136

G.2 Relationship with ISO 21597 ....................................................................................................... 136

G.3 Relationship with ISO 23387 ....................................................................................................... 136

Bibliography .................................................................................................................................................... 155

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European foreword

This document (prEN 17632:2021) has been prepared by Technical Committee CEN/TC 422 “Building

Information Modelling (BIM)”, the secretariat of which is held by SN - Norway.
This document is currently submitted to the CEN Enquiry.
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Introduction

The built environment is the context of this document. In the life cycle of buildings or infrastructure its

assets need to be managed across their entire life cycle, involving programming, design, building and

operation (as defined by ISO 19650 series), and the supply chain producing and delivering them. Vast

amounts of valuable data about them are created, communicated in a diverse range of formats and data

structures - and often lost again. In order to manage the assets efficiently and effectively according to the

standards practised in asset management (as defined by ISO 55000 series), data needs to be findable,

accessible, interoperable end reusable (FAIR) .

The world wide web consortium (W3C) provides so-called linked data (LD) and semantic web (SW)

technologies [1] which are capable of giving data common form (syntax) and meaning (semantics),

making data FAIR in a vendor neutral fashion.

The aim of this document is to standardize the application of this technology for the built environment in

order to enable the data becoming FAIR. This document specifies how the construction and software

industries apply this linked data and semantic web technology.

It hereby follows the principle to keep semantic modelling as simple and as standard as possible

(Table 1).
Table 1 — Aiming for standard and simple semantics
Semantic Standard Proprietary
Simple OK IF NEEDED
Complex IF NEEDED NOT OK

In others words, it is not the intention of this document to persuade anyone to shift the data structures

they already have in place. On the contrary, it is the suggestion of this document to store, model, publish

and link these data in a findable, accessible, interoperable and reusable manner (FAIR). To benefit the

industry from planning and design to construction and operation.

This document complements other ISO standards without any overlap. In the Annex G, related ISO

standards are listed and the exact relationship is described.

Application of this document to new or existing software will result in future proof, semantic data

interoperability that is interoperability so that the meaning of the data model within the context of a

subject area is understood by the participating systems [SOURCE: ISO/IEC 19941].

Furthermore, the data sets and data models become compatible, reusable, combinable and thereby

integrally applicable. This document enables decision making in and over every life cycle phase and the

supply chain involved.
1) A common principle by go-fair.org in today’s data management.
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Data management in the built environment is characterized by three main categories:

• Terms and definitions of data (on object level and attribute level);

• Data exchange (transfer of data from one party to another party) and data sharing (publishing of data

by one party where it can be accessed by other parties);
• Data integration involving linking all data together.

For each of these categories the interoperability approaches apply, as defined by the enterprise

interoperability framework (EIF) (ISO 11354-1):
1. Unified approach, featuring some common meta-model;
2. Integrated approach, featuring some common forms;

3. Federated approach, no common forms or meta-model but dynamic accommodation/adjustment.

These approaches, according to the EIF, are valid for business, process, service and data aspects.

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1 Scope

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.

2) The interdisciplinary approach governing the total technical and managerial effort required to transform a set of

stakeholder needs, expectations, and constraints into a solution and to support that solution throughout its life

[SOURCE: ISO/IEC/IEEE 12207:2017(en), 3.1.65].
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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.
2 Normative references

The following documents are referred to in the text in such a way that some or all of their content

constitutes requirements for this document. For dated references, only the edition cited applies. For

undated references, the latest edition of the referenced document (including any amendments) applies.

JSON-LD 1.1, A JSON-based Serialization for Linked Data, W3C Candidate Recommendation, 17 April

2020, https://www.w3.org/TR/json-ld11/

OWL 2 Web Ontology Language, Document Overview (Second Edition), W3C Recommendation,

11 December 2012, https://www.w3.org/TR/2012/REC-owl2-overview-20121211/
RDF 1.1 Concepts and Abstract Syntax, W3C Recommendation, 25 February 2014,
https://www.w3.org/TR/rdf11-concepts/

RDF 1.1 Turtle, W3C Recommendation, 25 February 2014, https://www.w3.org/TR/turtle/

RDF 1.1 XML Syntax, W3C Recommendation 25 February 2014, https://www.w3.org/TR/rdf-syntax-

grammar/

RDF Schema 1.1, W3C Recommendation, 25 February 2014, https://www.w3.org/TR/rdf-schema/

SHACL (Shapes Constraint Language), W3C Recommendation, 20 July 2017,
https://www.w3.org/TR/shacl/

SKOS Simple Knowledge Organization System Reference, W3C Recommendation, 18 August 2009,

https://www.w3.org/TR/skos-reference/
SPARQL 1.1 Overview, 21 March 2013, W3C Recommendation,

https://www.w3.org/TR/sparql11-overview/ (referencing, among others, the next two, more specific,

references)
SPARQL 1.1 Query Language, W3C Recommendation, 21 March 2013,
https://www.w3.org/TR/2013/REC-sparql11-query-20130321/
3) From now referred to as just “OWL”.
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SPARQL 1.1 Protocol, W3C Recommendation, 21 March 2013, https://www.w3.org/TR/sparql11-

protocol/

XML Schema Part 2: Datatypes, Second Edition, W3C Recommendation, 28 October 2004,

https://www.w3.org/TR/xmlschema-2/
3 Terms and definitions

For the purposes of this document, the terms and definitions given in ISO 6707-1 and the following apply.

ISO and IEC maintain terminological databases for use in standardization at the following addresses:

• ISO Online browsing platform: available at https://www.iso.org/obp
• IEC Electropedia: available at http://www.electropedia.org/
3.1
asset
item, thing or entity that has potential or actual value to an organization

[SOURCE: ISO 55000:2014, 3.2.1, modified — Note 1, 2 and 3 to entry have been removed.]

3.2
machine-readable
able to be read and processed by a computer
3.3
machine-interpretable
able to be semantically interpreted by a computer
3.4
level of capability
LoC

level of semantic level modelling power within a data model to fulfil a use case type

3.5
format
predetermined arrangement of data on a data medium
[SOURCE: ISO 5127:2017, 3.1.13.12]
3.6
ontology
formal, explicit specification of a shared conceptualization

Note 1 to entry: An ontology typically includes definitions of concepts and specified relationships between them,

set out in a formal way so that a machine can use them for reasoning.

Note 2 to entry: Applied in this document as a set of concepts, (reference) individuals, value types, (reference)

values, attributes, relations, constraints and derivations.
[SOURCE: ISO 5127:2017, 3.1.2.03, modified — added Note 2 to entry]
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3.7
typology
hierarchy related to classification/instantiation relations

[SOURCE: ISO/IEC 11179-3:2013, 3.2.135, modified — The words "type of" have been removed. The

words "which deals with" have been changed to "related to". The word relationships has been changed

to relations.]
3.8
taxonomy
hierarchy related to generalization/specialization relations

[SOURCE: ISO/IEC 11179-3:2013, 3.2.135, modified — The words "type of" have been removed. The

words "which deals with" have been changed to "related to". The word relationships has been changed

to relations. Not mixing concepts, attributes and relations.]
3.9
meronomy
hierarchy related to part-whole (decomposition) relations

[SOURCE: ISO/IEC 11179-3:2013, 3.2.135, modified — The words "type of" have been removed. The

words "which deals with" have been changed to "related to". The word relationships has been changed

to relations.]
3.10
built environment

collection of man-made or induced physical objects located in a particular area or region

[SOURCE: ISO 6707-3:2017, 3.1.3]
3.11
triple
statement in the form subject-predicate-object that expresses a relation
3.12
level of capability

modelling power related to the needs of a specific use case type, provided by the linked data languages

3.13
object
any part of the perceivable or conceivable world

Note 1 to entry: An object is something abstract or physical toward which thought, feeling, or action is directed.

Note 2 to entry: Within this draft, the terms instance and individual, are used as synonyms of object.

[SOURCE: ISO 12006-2:2015, 3.1.1, modified — added Note 2 to entry.]
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3.14
concept
abstract entity for determining category membership
[SOURCE: ISO/IEC 2382 :2015, 2122971]
3.15
property
inherent or acquired feature of an object
3.16
attribute

data element for the computer-sensible description of a property, a relation or a class

[SOURCE ISO 22274:2013, 3.2]
3.17
relation
sense in which concepts can be connected, via constituent roles
EXAMPLE Causality is a relation with two constituent roles: cause and effect.
[SOURCE: ISO/IEC 11179-3:2013, 3.2.119]
3.18
data set

group of data instances directly specifying or describing something you can or could point at in reality

3.19
data model

specification/description of the organization of data giving meaning (semantics) to a data set

3.20
exchange information requirement
EIR
information requirement in relation to an appointment
[SOURCE: ISO 19650-1:2018. 3.3.6]
3.21
systems engineering

interdisciplinary approach governing the total technical and managerial effort required to transform a

set of stakeholder needs, expectations, and constraints into a solution and to support that solution

throughout its life
[SOURCE: ISO/IEC/IEEE 12207:2017, 3.1.65]
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3.22
metadata
data about data (documents, data sets, data models or elements in those)
3.23
top level data model
most generic taxonomy as part of a data model
4 Symbols and abbreviated terms
4.1 Symbols
This document does not contain any symbols.
4.2 Abbreviated terms
For the purposes of this document, the following abbreviated terms apply.
API application programming interface
BIM building information modelling
DT data template [CEN TC 442]
ECMA European computer manufacturers association international
EDM electronic data management
EIF enterprise interoperability framework
EIR exchange information requirements
FAIR findable, accessible, interoperable, reusable [go-fair.org]
FO functional object
GIS geo-spatial information systems
GUID globally unique identifier (typically assigned)
ICDD information container for linked document delivery [ISO]
ID identifier
IDM information delivery manual
IFC industry foundation classes [ISO]
IETF internet engineering task force
IO imaginary object
JSON JavaScript object notation [ECMA]
JSON-LD JavaScript object notation - linked data [W3C]
LBD CG linked building data community group [W3C]
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LD linked data technology [W3C]
LoC level of capability
M&C monitoring & control
OMG object management group
OWL web ontology language [W3C]
QUDT quantities, units & data types [qudt.org]
RDF resource description framework [W3C]
RDFS resource description framework schema [W3C]
RFC request for comments [IETF]
RO real object
SE systems engineering
SHACL shapes constraints language [W3C]
SML semantic modelling and linking [CEN]
SPARQL SPARQL protocol and RDF query language [W3C]
SPFF STEP physical file format [STEP]
STEP standard for the exchange of product model data [ISO]
SSoF single source of facts
SW semantic web technology [W3C]
TO technical object
UML unified modelling language [OMG]
URI uniform resource identifier [W3C]
UUID universally unique identifier [IETF]
XML extensible markup language [W3C]
XSD extensible markup language schema definition [W3C]
W3C world wide web consortium
WWW world wide web [W3C]
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5 Levels of Capability

Different use case types need a specification for different levels of capability (LoC) related to the required

modelling power. This document specifies three main LoCs (Figure 2):
Figure 2 — Three main use case types and related 'Levels of Capability (LoCs)'

The left/grey part of the figure represents the business side, the right/orange side the modelling language

used. The simplest use case type requiring the weakest semantic modelling is the common understanding

and alignment of terms and definitions used to describe assets, their environment and internal structure.

Weak modelling is sufficient here as a first step for human interpretation. A good definition gives an end

user guidance on how to later classify and instantiate their data according to these terms. This level

targets mainly uniformity in human understanding of terms and definitions and at least making sure the

data is machine-processable, with the lowest level of capabilit
...