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CEN

FprEN ISO 19178-1

(Main)

Geographic information - Training data markup language for artificial intelligence - Part 1: Conceptual model (ISO/FDIS 19178-1:2025)

Geographic information - Training data markup language for artificial intelligence - Part 1: Conceptual model (ISO/FDIS 19178-1:2025)

Vienna agreement ISO lead

Information géographique - Langage de balisage des données d'entraînement pour l'intelligence artificielle - Partie 1: Modèle conceptuel (ISO/FDIS 19178-1:2025)

Geografske informacije - Jezik za označevanje podatkov za usposabljanje za umetno inteligenco - 1. del: Konceptualni model (ISO/FDIS 19178-1:2025)

General Information

Status
Not Published
Publication Date
03-Aug-2025
ICS
35.240.70 - IT applications in science
Technical Committee
CEN/TC 287 - Geographic Information
Drafting Committee
CEN/TC 287 - Geographic Information
Current Stage
5020 - Submission to Vote - Formal Approval
Start Date
06-Mar-2025
Due Date
20-Oct-2026
Completion Date
06-Mar-2025
Ref Project
kSIST FprEN ISO 19178-1:2025 - Geographic information - Training data markup language for artificial intelligence - Part 1: Conceptual model (ISO/FDIS 19178-1:2025)

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SLOVENSKI STANDARD
oSIST prEN ISO 19178-1:2024
01-september-2024
Geografske informacije - Jezik za označevanje podatkov za usposabljanje za
umetno inteligenco - 1. del: Standard konceptualnega modela (ISO/DIS 19178-
1:2024)
Geographic information - Training data markup language for artificial intelligence - Part 1:
Conceptual model standard (ISO/DIS 19178-1:2024)
Ta slovenski standard je istoveten z: prEN ISO 19178-1
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
oSIST prEN ISO 19178-1:2024 en,fr,de
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.

oSIST prEN ISO 19178-1:2024
oSIST prEN ISO 19178-1:2024
DRAFT
International
Standard
ISO/DIS 19178-1
ISO/TC 211
Geographic information — Training
Secretariat: SIS
data markup language for artificial
Voting begins on:
intelligence —
2024-07-10
Part 1:
Voting terminates on:
2024-10-02
Conceptual model standard
ICS: ISO ics
THIS DOCUMENT IS A DRAFT CIRCULATED
FOR COMMENTS AND APPROVAL. IT
IS THEREFORE SUBJECT TO CHANGE
AND MAY NOT BE REFERRED TO AS AN
INTERNATIONAL STANDARD UNTIL
PUBLISHED AS SUCH.
This document is circulated as received from the committee secretariat.
IN ADDITION TO THEIR EVALUATION AS
BEING ACCEPTABLE FOR INDUSTRIAL,
TECHNOLOGICAL, COMMERCIAL AND
IMPORTANT — Please use this updated version dated 2024-05-30,
USER PURPOSES, DRAFT INTERNATIONAL
STANDARDS MAY ON OCCASION HAVE TO
and discard any previous version of this DIS. The VA relation has
BE CONSIDERED IN THE LIGHT OF THEIR
POTENTIAL TO BECOME STANDARDS TO
been removed.
WHICH REFERENCE MAY BE MADE IN
NATIONAL REGULATIONS.
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.
Reference number
ISO/DIS 19178-1:2024(en)
oSIST prEN ISO 19178-1:2024
DRAFT
ISO/DIS 19178-1:2024(en)
International
Standard
ISO/DIS 19178-1
ISO/TC 211
Geographic information — Training
Secretariat: SIS
data markup language for artificial
Voting begins on:
intelligence —
Part 1:
Voting terminates on:
Conceptual model standard
ICS: ISO ics
THIS DOCUMENT IS A DRAFT CIRCULATED
FOR COMMENTS AND APPROVAL. IT
IS THEREFORE SUBJECT TO CHANGE
AND MAY NOT BE REFERRED TO AS AN
INTERNATIONAL STANDARD UNTIL
PUBLISHED AS SUCH.
This document is circulated as received from the committee secretariat.
IN ADDITION TO THEIR EVALUATION AS
BEING ACCEPTABLE FOR INDUSTRIAL,
© ISO 2024
TECHNOLOGICAL, COMMERCIAL AND
USER PURPOSES, DRAFT INTERNATIONAL
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
STANDARDS MAY ON OCCASION HAVE TO
ISO/CEN PARALLEL PROCESSING
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting on
BE CONSIDERED IN THE LIGHT OF THEIR
the internet or an intranet, without prior written permission. Permission can be requested from either ISO at the address below
POTENTIAL TO BECOME STANDARDS TO
WHICH REFERENCE MAY BE MADE IN
or ISO’s member body in the country of the requester.
NATIONAL REGULATIONS.
ISO copyright office
RECIPIENTS OF THIS DRAFT ARE INVITED
CP 401 • Ch. de Blandonnet 8
TO SUBMIT, WITH THEIR COMMENTS,
CH-1214 Vernier, Geneva
NOTIFICATION OF ANY RELEVANT PATENT
Phone: +41 22 749 01 11
RIGHTS OF WHICH THEY ARE AWARE AND TO
PROVIDE SUPPORTING DOCUMENTATION.
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland Reference number
ISO/DIS 19178-1:2024(en)
ii
oSIST prEN ISO 19178-1:2024
ISO/DIS 19178-1:2024(en)
Contents Page
Foreword .v
Introduction .vi
1 Scope . 1
2 Normative references . 1
3 Terms and definitions . 1
3.1 Terms and definitions .2
3.2 Abbreviated terms .4
4 Conventions . 4
4.1 Identifiers .4
4.2 UML Notation .4
5 Conformance . 5
6 Overview . 6
6.1 AI Tasks for EO .6
6.2 Modularization .7
6.3 General Modeling Principles .7
6.3.1 Element Modeling .7
6.3.2 Class Hierarchy and Inheritance of Properties and Relations .8
6.3.3 Definition of the Semantics for all Classes, Properties, and Relations .8
6.3.4 Data Integrity, Authenticity, and Non-repudiation .8
6.4 Extending TrainingDML-AI .8
7 TrainingDML-AI UML Model . 8
7.1 ISO Dependencies .9
7.2 Overview of the UML Model .10
7.3 AI_TrainingDataset .11
7.3.1 Provisions . 12
7.3.2 Class Definitions . 13
7.4 AI_TrainningData . 13
7.4.1 Provisions .14
7.4.2 Class Definitions . 15
7.5 AI_Task . 15
7.5.1 Provisions .16
7.5.2 Class Definitions .17
7.6 AI_Label .17
7.6.1 Provisions .17
7.6.2 Class Definitions .18
7.7 AI_Labeling .18
7.7.1 Provisions .19
7.7.2 Class Definitions . 20
7.8 AI_TDChangeset . 20
7.8.1 Provisions . 20
7.8.2 Class Definitions .21
7.9 AI_DataQuality .21
7.9.1 Provisions . 22
7.9.2 Class Definitions . 23
8 TrainingDML-AI Data Dictionary .23
8.1 ISO Classes . 23
8.1.1 Feature (from ISO 19101-1:2014) . 23
8.1.2 MD_Band (from ISO 19115-1:2014) . 23
8.1.3 MD_Scope (from ISO 19115-1:2014) . . 23
8.1.4 EX_Extent (from ISO 19115-1:2014) .24
8.1.5 CI_Citation (from ISO 19115-1:2014) .24
8.1.6 DataQuality (from ISO 19157-1).24

iii
oSIST prEN ISO 19178-1:2024
ISO/DIS 19178-1:2024(en)
8.1.7 QualityElement (from ISO 19157-1) .
...

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