Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks. CCKS 2019 held an evaluation track with 6 tasks and attracted more than 1,600 teams. In this paper, we give an overview of the knowledge graph evaluation tract at CCKS 2019. By reviewing the task definition, successful methods, useful resources, good strategies and research challenges associated with each task in CCKS 2019, this paper can provide a helpful reference for developing knowledge graph applications and conducting future knowledge graph researches.
翻译:知识图表模型世界知识作为概念、实体和它们之间的关系,在许多现实世界的任务中广泛使用。CCKS 2019拥有一个评价轨道,有6项任务,吸引了1 600多个团队。在本文件中,我们概述了2019年CCKS知识图表评价流程。通过审查任务定义、成功方法、有用资源、良好战略和2019年CCKS每项任务的研究挑战,本文件可以为开发知识图表应用和开展未来知识图表研究提供有用的参考。