Difference between revisions of "ISO 19103:2015 Geographic information - Conceptual schema language"
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| Related standard(s) | | Related standard(s) | ||
| − | | ISO 19150-1:2012, Geographic information -- Ontology -- Part 1: Framework<br/> ISO 19150-2, Geographic information -- Ontology -- Part 2: Rules for developing ontologies in the Web Ontology Language (OWL)<br/> S-100 IHO Universal hydrographical data model | + | | ISO 19150-1:2012, Geographic information -- Ontology -- Part 1: Framework<br/> ISO 19150-2, Geographic information -- Ontology -- Part 2: Rules for developing ontologies in the Web Ontology Language (OWL)<br/> S-100 IHO Universal hydrographical data model |
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| Application | | Application | ||
Revision as of 14:09, 24 June 2016
Overview
| Full name | ISO 19103:2015, Geographic information – Conceptual schema language |
| Version | Edition 1 (but replacing ISO/TS 19103:2005) |
| Amendments | None |
| Corrigenda | None |
| Published by | ISO/TC 211 |
| Languages | English |
| Online overview | https://www.iso.org/obp/ui/#iso:std:iso:ts:19103:ed-1:v1:en |
| Type of standard | ISO International Standard
Meta-meta level |
| Related standard(s) | ISO 19150-1:2012, Geographic information -- Ontology -- Part 1: Framework ISO 19150-2, Geographic information -- Ontology -- Part 2: Rules for developing ontologies in the Web Ontology Language (OWL) S-100 IHO Universal hydrographical data model |
| Application | ISO 19103 specifies rules and guidelines for the use of UML, the preferred Conceptual Schema Language (CSL) in the ISO/TC 211 suite of standards. The ISO/TC 211 suite of standards aims to create a framework in which data interchange and service interoperability can be achieved across multiple implementation environments. The adoption and consistent use of a CSL is fundamental to achieving this goal because it allows the specification of unambiguous schemas, which form the basis for data interchange and definition. |
External links
- ISO/TC 211 UML Best Practices, a collection of best practices for modelling geographic information in UML, and to make the models understandable for both machines and humans.