Knowledge-Deck：自动生成可视化分析知识发现应用程序的演示文稿幻灯片
Knowledge-Decks: Automatically Generating Presentation Slide Decks of Visual Analytics Knowledge Discovery Applications
摘要：
可视化分析（VA）工具为用户提供了从数据集中利用见解和知识的方法。在使用VA工具的同时回忆和复述用户体验已经引起了极大的兴趣。然而，每个用户会话都是唯一的。即使不同的用户在使用VA工具时具有相同的意图，他们也可能遵循不同的路径并发现不同的见解。手动处理这些数据以回忆和复述用户的知识发现路径的当前方法也可能是耗时的，特别是当需要向第三方呈现用户的发现时。本文提出了一种新的系统，收集用户的意图，行为，并在知识发现会议的见解，自动结构化的数据，并提取知识发现的PowerPoint幻灯片甲板的叙述。该系统由基于正式且可重复的建模过程设计的知识图谱提供支持。为了评估我们的系统，我们将其附加到两个现有的VA工具，要求用户执行预定义的任务。从生成的知识图谱中提取了几个幻灯片和其他分析指标。专家们仔细检查并确认了我们的自动化流程的有用性，该流程使用幻灯片向他人披露知识发现路径，并验证VA工具本身是否有效。
英文摘要：
Visual Analytics (VA) tools provide ways for users to harness insights and knowledge from datasets. Recalling and retelling user experiences while utilizing VA tools has attracted significant interest. Nevertheless, each user sessions are unique. Even when different users have the same intention when using a VA tool, they may follow different paths and uncover different insights. Current methods of manually processing such data to recall and retell users' knowledge discovery paths may also be time-consuming, especially when there is the need to present users' findings to third parties. This paper presents a novel system that collects user intentions, behavior, and insights during knowledge discovery sessions, automatically structure the data, and extracts narrations of knowledge discovery as PowerPoint slide decks. The system is powered by a Knowledge Graph designed based on a formal and reproducible modeling process. To evaluate our system, we have attached it to two existing VA tools where users were asked to perform pre-defined tasks. Several slide decks and other analysis metrics were extracted from the generated Knowledge Graph. Experts scrutinized and confirmed the usefulness of our automated process for using the slide decks to disclose knowledge discovery paths to others and to verify whether the VA tools themselves were effective.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
