论文标题
探索与算法构建的出版物分类有关的用户需求
Exploring user needs in relation to algorithmically constructed classifications of publications
论文作者
论文摘要
已经创建了研究出版物的算法分类来研究研究的不同方面。这些分类可用于支持大学中的信息需求进行决策。但是，对于它们的内容进行了定量评估，但在特定情况下的可行性中，对分类进行了定量评估。这项研究的目的是在探索新兴研究领域的背景下探索和评估此类分类对用户的有用性。我对一个旨在在瑞典医科大学Karolinska Institutet上支持人工智能研究和应用的项目的经理进行了四次访谈。访谈的重点是经理的信息需求。为了支持该项目，通过在引文网络中的出版物聚类来创建分类。提供了基于此分类的群集图，并针对既定信息需求而侧重于项目中使用该分类的一项访谈。访谈表明，该项目的目的是提高能力，增强研究人员之间的沟通并开发支持结构。在大学中获得人工智能的概述，以及有关谁在做对实现这一目标很重要的信息。群集图用于支持项目负责人进行的活动，例如访谈和信息收集。它也被用来在KI上概述和展示AI研究。在某些情况下，人们发现解释具有挑战性。地图的互动促进了解释。这项研究的范围很小，但它提供了有关与算法分类有关的信息需求的一条知识。
Algorithmic classification of research publications has been created to study different aspects of research. Such classifications can be used to support information needs in universities for decision making. However, the classifications have foremost been evaluated quantitatively regarding their content, but not qualitatively regarding their feasibility in a specific context. The aim of this study was to explore and evaluate the usefulness of such classifications to users in the context of exploring an emerging research area. I conducted four interviews with managers of a project aimed to support research and application of artificial intelligence at the Swedish medical university Karolinska Institutet. The interviews focused on the information need of the managers. To support the project, a classification was created by clustering of publications in a citation network. A cluster map based on this classification was provided to the project leader and one interview focused on the use of the classification in the project in relation to the stated information needs. The interviews showed that the aim of the project was to improve competence, enhance communication between researchers and develop support structures. Getting an overview of artificial intelligence at the university and information about who is doing what was important to fulfill this aim. The cluster map was used to support activities conducted by the project leader, such as interviews and information gathering. It was also used to get overview and display of AI research at KI. Interpretation was found to be challenging in some cases. The interactivity of the map facilitated interpretation. This study was small in scope, but it provides one piece of knowledge about the information needs related to algorithmic classifications.
