The amount of research articles produced every day is overwhelming: scholarly knowledge is getting harder to communicate and easier to get lost. A possible solution is to represent the information in knowledge graphs: structures representing knowledge in networks of entities, their semantic types, and relationships between them. But this solution has its own drawback: given its very specific task, it requires new methods for designing and evaluating user interfaces. In this paper, we propose an approach for user interface evaluation in the knowledge communication domain. We base our methodology on the well-established Cognitive Walkthough approach but employ a different set of questions, tailoring the method towards domain-specific needs. We demonstrate our approach on a scholarly knowledge graph implementation called Open Research Knowledge Graph (ORKG).

翻译：每天产生的研究论文数量庞大，学术知识越来越难以传播，也更容易被淹没。一种可能的解决方案是将信息表征为知识图谱，即以实体网络及其语义类型和相互关系来呈现知识的结构。但这一方案也有其固有缺陷：由于其任务的特殊性，需要开发新的用户界面设计与评估方法。本文提出了一种面向知识传播领域的用户界面评估方法。该方法以成熟的认知走查法为基础，但采用了一系列不同的提问方式，使该方法更贴合领域特定需求。我们以名为"开放研究知识图谱（ORKG）"的学术知识图谱实现为例进行了方法验证。