论文标题
知识障碍：自动生成视觉分析知识发现应用程序的演示幻灯片甲板
Knowledge-Decks: Automatically Generating Presentation Slide Decks of Visual Analytics Knowledge Discovery Applications
论文作者
论文摘要
Visual Analytics（VA）工具为用户提供了从数据集利用洞察力和知识的方法。在使用VA工具的同时，回顾和重述用户体验引起了极大的兴趣。但是，每个用户会议都是唯一的。即使使用VA工具时不同的用户具有相同的意图，他们也可能遵循不同的路径并发现不同的见解。当前手动处理此类数据以回忆和重述用户知识发现路径的方法也可能很耗时，尤其是在需要向第三方提供用户发现的情况下。本文提出了一个新型系统，该系统在知识发现会话中收集用户意图，行为和见解，自动构造数据，并将知识发现的叙述作为PowerPoint幻灯片甲板。该系统由基于正式和可重复的建模过程设计的知识图提供动力。为了评估我们的系统，我们将其附加到了两个现有的VA工具上，要求用户执行预定义的任务。从生成的知识图中提取了几个幻灯片甲板和其他分析指标。专家仔细检查并确认了我们的自动化流程使用幻灯片将知识发现路径披露给他人的有用性，并验证VA工具本身是否有效。
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.
