The main goal of this paper is to evaluate knowledge base schemas, modeled as a set of entity types, each such type being associated with a set of properties, according to their focus. We intuitively model the notion of focus as ''the state or quality of being relevant in storing and retrieving information''. This definition of focus is adapted from the notion of ''categorization purpose'', as first defined in cognitive psychology, thus giving us a high level of understandability on the side of users. In turn, this notion is formalized based on a set of knowledge metrics that, for any given focus, rank knowledge base schemas according to their quality. We apply the proposed methodology to more than 200 state-of-the-art knowledge base schemas. The experimental results show the utility of our approach

翻译：本文的主要目标是根据知识库模式的聚焦度对其进行评估。我们将知识库模式建模为一组实体类型，每种实体类型均与一组属性相关联。直观上，我们将聚焦度的概念定义为"在信息存储与检索中具有相关性的状态或质量"。该定义借鉴了认知心理学中首次提出的"分类目的"概念，从而在用户层面提供了高度的可理解性。进一步地，我们基于一组知识度量指标对这一概念进行形式化建模，这些指标能够针对任意给定的聚焦度，按质量对知识库模式进行排序。我们将所提方法应用于200余种前沿知识库模式，实验结果表明了该方法的实用性。