Journalism relies more and more on information and communication technology (ICT). ICT-based journalistic knowledge platforms continuously harvest potentially news-relevant information from the Internet and make it useful for journalists. Because information about the same event is available from different sources and formats vary widely, knowledge graphs are emerging as a preferred technology for integrating, enriching, and preparing information for journalistic use. The paper explores how journalistic knowledge graphs can be augmented with support for news angles, which can help journalists to detect newsworthy events and make them interesting for the intended audience. We argue that finding newsworthy angles on news-related information is an important example of a topical problem in information science: that of detecting interesting events and situations in big data sets and presenting those events and situations in interesting ways.

新闻业越来越依赖于信息和通信技术（ICT）。基于ICT的新闻知识平台不断从Internet收集潜在的新闻相关信息，并使其对记者有用。由于可以从不同来源获得关于同一事件的信息，并且格式也相差很大，因此，知识图谱正在成为一种首选技术，用于集成，丰富和准备供新闻工作者使用的信息。本文探讨了如何通过新闻角度的支持来增强新闻知识图，这可以帮助新闻工作者发现具有新闻价值的事件并使目标受众感兴趣。我们认为，找到与新闻相关的信息具有新闻价值的角度是信息科学中一个热点问题的重要示例：检测大数据集中有趣的事件和情况并以有趣的方式呈现这些事件和情况。