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OGC Training Data Markup Language for Artificial Intelligence (TrainingDML-AI) Part 3: XML Encoding Standard
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| Definitionskos:definition | The OGC Training Data Markup Language for Artificial Intelligence (TrainingDML-AI) Part 3: XML Encoding Standard defines requirements for encoding AI training datasets as Extensible Markup Language (XML). XML is a widely utilized format for encoding data in various applications. It employs a markup structure where data is enclosed in tags represented by opening and closing elements. These elements can have attributes and may contain nested elements, allowing for a hierarchical representation of structured information. TrainingDML-AI Part 3 is based on the OGC Training Data Markup Language for Artificial Intelligence (TrainingDML-AI) Part 1: Conceptual Model Standard. |
|---|---|
| Broaderbroader | Implementation Standard |
| http://purl.org/dc/terms/createdcreated | 2025-02-10 |
| Creatorcreator | Peng Yue, Ruixiang Liu, Kaixuan Wang |
| seeAlsoseeAlso | https:///docs.ogc.org/is/24-007r1/24-007r1.html |
| Statusstatus | valid |
| Notationnotation | 24-007r1 |
| Alternative LabelaltLabel | 24-007r1 |
| OGC Training Data Markup Language for Artificial Intelligence (TrainingDML-AI) Part 3: XML Encoding Standard | |
| OGC document typedoctype | Implementation Standard |