SIST EN ISO 19178-1:2025
(Main)Geographic information - Training data markup language for artificial intelligence - Part 1: Conceptual model (ISO 19178-1:2025)
Geographic information - Training data markup language for artificial intelligence - Part 1: Conceptual model (ISO 19178-1:2025)
Within the context of training data for Earth Observation (EO) Artificial Intelligence Machine Learning (AI/ML), this document specifies a conceptual model that:
— establishes a UML model with a target of maximizing the interoperability and usability of EO imagery training data;
— specifies different AI/ML tasks and labels in EO in terms of supervised learning, including scene level, object level and pixel level tasks;
— describes the permanent identifier, version, licence, training data size, measurement or imagery used for annotation;
— specifies a description of quality (e.g. training data errors, training data representativeness, quality measures) and provenance (e.g. agents who perform the labelling, labelling procedure).
Information géographique - Langage de balisage des données d'entraînement pour l'intelligence artificielle - Partie 1: Modèle conceptuel (ISO 19178-1:2025)
Dans le contexte des données d’entraînement pour l’apprentissage automatique de l’intelligence artificielle (IA/ML) en matière d’observation de la Terre (EO), le présent document spécifie un modèle conceptuel qui:
— établit un modèle UML dans le but de maximiser l’interopérabilité et l’utilisabilité des données d’entraînement à l’imagerie d’observation de la Terre;
— spécifie les différentes tâches et étiquettes d’IA/ML dans le domaine de l’EO en termes d’apprentissage supervisé, y compris les tâches au niveau de la scène, de l’objet et du pixel;
— décrit l’identifiant permanent, la version, la licence, la taille des données d’entraînement, les mesures ou l’imagerie utilisée pour l’annotation;
— spécifie une description de la qualité (par exemple, les erreurs dans les données d’entraînement, la représentativité des données d’entraînement, les mesures de la qualité) et de la provenance (par exemple, les agents qui effectuent l’étiquetage, la procédure d’étiquetage).
Geografske informacije - Jezik za označevanje podatkov za usposabljanje umetne inteligence - 1. del: Konceptualni model (ISO 19178-1:2025)
General Information
Standards Content (Sample)
SLOVENSKI STANDARD
01-november-2025
Geografske informacije - Jezik za označevanje podatkov za usposabljanje umetne
inteligence - 1. del: Konceptualni model (ISO 19178-1:2025)
Geographic information - Training data markup language for artificial intelligence - Part 1:
Conceptual model (ISO 19178-1:2025)
Information géographique - Langage de balisage des données d'entraînement pour
l'intelligence artificielle - Partie 1: Modèle conceptuel (ISO 19178-1:2025)
Ta slovenski standard je istoveten z: EN ISO 19178-1:2025
ICS:
07.040 Astronomija. Geodezija. Astronomy. Geodesy.
Geografija Geography
35.060 Jeziki, ki se uporabljajo v Languages used in
informacijski tehniki in information technology
tehnologiji
35.240.70 Uporabniške rešitve IT v IT applications in science
znanosti
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.
EN ISO 19178-1
EUROPEAN STANDARD
NORME EUROPÉENNE
June 2025
EUROPÄISCHE NORM
ICS 35.240.70
English Version
Geographic information - Training data markup language
for artificial intelligence - Part 1: Conceptual model (ISO
19178-1:2025)
Information géographique - Langage de balisage des
données d'entraînement pour l'intelligence artificielle -
Partie 1: Modèle conceptuel (ISO 19178-1:2025)
This European Standard was approved by CEN on 3 June 2025.
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. Up-to-date lists and bibliographical references
concerning such national standards may be obtained on application to the CEN-CENELEC Management Centre or to any CEN
member.
This European Standard exists 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, Türkiye and
United Kingdom.
EUROPEAN COMMITTEE FOR STANDARDIZATION
COMITÉ EUROPÉEN DE NORMALISATION
EUROPÄISCHES KOMITEE FÜR NORMUNG
CEN-CENELEC Management Centre: Rue de la Science 23, B-1040 Brussels
© 2025 CEN All rights of exploitation in any form and by any means reserved Ref. No. EN ISO 19178-1:2025 E
worldwide for CEN national Members.
Contents Page
European foreword . 3
European foreword
This document (EN ISO 19178-1:2025) has been prepared by Technical Committee ISO/TC 211
"Geographic information/Geomatics" in collaboration with Technical Committee CEN/TC 287
“Geographic Information” the secretariat of which is held by BSI.
This European Standard shall be given the status of a national standard, either by publication of an
identical text or by endorsement, at the latest by December 2025, and conflicting national standards
shall be withdrawn at the latest by December 2025.
Attention is drawn to the possibility that some of the elements of this document may be the subject of
patent rights. CEN shall not be held responsible for identifying any or all such patent rights.
Any feedback and questions on this document should be directed to the users’ national standards
body/national committee. A complete listing of these bodies can be found on the CEN website.
According to the CEN-CENELEC Internal Regulations, the national standards organizations of the
following countries are bound to implement this European Standard: 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, Türkiye and the
United Kingdom.
Endorsement notice
The text of ISO 19178-1:2025 has been approved by CEN as EN ISO 19178-1:2025 without any
modification.
International
Standard
ISO 19178-1
First edition
Geographic information — Training
2025-05
data markup language for artificial
intelligence —
Part 1:
Conceptual model
Information géographique — Langage de balisage des données
d'entraînement pour l'intelligence artificielle —
Partie 1: Modèle conceptuel
Reference number
ISO 19178-1:2025(en) © ISO 2025
ISO 19178-1:2025(en)
© ISO 2025
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting on
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Published in Switzerland
ii
ISO 19178-1:2025(en)
Contents Page
Foreword .v
Introduction .vi
1 Scope . 1
2 Normative references . 1
3 Terms, definitions and abbreviated terms . 1
3.1 Terms and definitions .1
3.2 Abbreviated terms .3
4 Conventions . 4
4.1 General .4
4.2 Identifiers .4
4.3 UML notation.4
5 Conformance . 6
6 Overview . 6
6.1 General .6
6.2 AI tasks for EO.6
6.3 Modularization .7
6.4 General modelling principles .8
6.4.1 Element modelling .8
6.4.2 Class hierarchy and inheritance of properties and relations .8
6.4.3 Definition of the semantics for all classes, properties and relations . .9
6.4.4 Data integrity, authenticity and non-repudiation .9
6.5 Extending TrainingDML-AI .9
7 TrainingDML-AI UML model . 9
7.1 General .9
7.2 ISO dependencies .9
7.3 Overview of the UML model .10
7.4 AI_TrainingDataset . 12
7.4.1 General . 12
7.4.2 Provisions . 13
7.4.3 Class definitions .14
7.5 AI_TrainingData . 15
7.5.1 General . 15
7.5.2 Provisions .16
7.5.3 Class definitions .16
7.6 AI_Task .17
7.6.1 General .17
7.6.2 Provisions .18
7.6.3 Class definitions .18
7.7 AI_Label .18
7.7.1 General .18
7.7.2 Provisions .
...
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