Knowledge bases allow effective access paths in digital libraries. Here users can specify their information need as graph patterns for precise searches and structured overviews (by allowing variables in queries). But especially when considering textual sources that contain narrative information, i.e., short stories of interest, harvesting statements from them to construct knowledge bases may be a serious threat to the statements' validity. A piece of information, originally stated in a coherent line of arguments, could be used in a knowledge base query processing without considering its vital context conditions. And this can lead to invalid results. That is why we argue to move towards narrative information access by considering contexts in the query processing step. In this way digital libraries can allow users to query for narrative information and supply them with valid answers. In this paper we define narrative information access, demonstrate its benefits for Covid 19 related questions, and argue on the generalizability for other domains such as political sciences.
翻译:知识库允许数字图书馆的有效访问路径。 这里的用户可以指定他们的信息需求,作为精确搜索和结构化概览的图表模式(允许查询中的变量)。 但是,特别是在考虑含有叙述性信息的文本来源时,即感兴趣的短故事时,从他们那里收集声明以建立知识库可能对声明的有效性构成严重威胁。 最初在连贯的一行参数中表述的信息可以在不考虑其关键背景条件的情况下用于知识库查询处理中。这可能导致无效的结果。 这就是为什么我们主张通过在查询处理步骤中考虑背景来转向叙述性信息访问。 这样,数字图书馆可以允许用户查询叙述性信息,并为其提供有效的答案。 在本文中,我们定义了叙述性信息访问,展示了它对于Covid 19个相关问题的好处,并就政治科学等其他领域的通用性进行了争论。