Towards Ranking Schemas by Focus
This work addresses the need for better schema evaluation in knowledge bases, but it appears incremental as it adapts existing psychological concepts to a formalized ranking approach.
The paper tackles the problem of evaluating knowledge base schemas by ranking them based on focus, defined as relevance in storing and retrieving information, and applies this methodology to over 200 schemas, showing its utility in experimental results.
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