Intelligence Task Ontology and Knowledge Graph (ITO)

Intelligence Task Ontology and Knowledge Graph (ITO) 是由维也纳医科大学人工智能研究所创建的一个大型、精心策划的知识图谱，专注于人工智能任务和基准。该数据集包含超过50,000个数据实体，涵盖了从2000年到2021年的26,000多个基准结果。ITO的创建过程涉及从‘Papers with code’等资源中提取数据，并通过手动和自动方法进行精炼和整合。该数据集主要用于支持人工智能领域的元研究，帮助分析和理解AI方法的应用、进展及其相互关系，特别适用于解决AI研究中的复杂性和多样性问题。

Intelligence Task Ontology and Knowledge Graph (ITO) is a large, meticulously curated knowledge graph focused on artificial intelligence (AI) tasks and benchmarks, developed by the Institute of Artificial Intelligence at the Medical University of Vienna. This dataset contains over 50,000 data entities, covering more than 26,000 benchmark results spanning from 2000 to 2021. The construction of ITO involved extracting data from resources such as Papers with Code, followed by refinement and integration via both manual and automated approaches. Primarily designed to support meta-research in the AI field, this dataset aids in analyzing and understanding the applications, advancements, and interrelationships of AI methodologies, and is particularly suitable for addressing the complexity and diversity issues in AI research.