FAIRsharing record for: Machine Learning Dataset Catalog Application Profile

This FAIRsharing record describes: MLDCAT-AP (Machine Learning DCAT-AP) is an Application Profile that extends DCAT-AP in the field of machine learning by adding concepts such as Machine Learning Model, Task, etc. MLDCAT-AP aims to describe machine learning models, together with their datasets, quality measured on the datasets and citing papers. It has been originally developed in collaboration with OpenML. Over time, concepts coming from AI Act and AI Code of Practice (AI Cop) have been included and a reference to them has been added for each class or property where needed, including those references to existing data models.

本FAIRsharing记录描述如下：MLDCAT-AP（Machine Learning DCAT-AP）是一类应用概要（Application Profile），在机器学习领域对DCAT-AP进行扩展，新增了机器学习模型（Machine Learning Model）、任务（Task）等相关概念。MLDCAT-AP旨在对机器学习模型及其关联数据集、数据集上测得的模型质量指标以及引用文献进行描述。该规范最初由与OpenML合作研发而成。随着时间推移，该规范已纳入源自《人工智能法案》（AI Act）与《人工智能实践准则》（AI Code of Practice，AI Cop）的相关概念，并在所需的每个类或属性中添加了对这些规范的引用，包括针对现有数据模型的相关引用。