# Towards Ranking Schemas by Focus

## TL;DR

This paper introduces a method to evaluate and rank knowledge base schemas based on their focus, defined as relevance for storing and retrieving information, using knowledge metrics and applied to over 200 schemas.

## Contribution

It formalizes the concept of focus for knowledge schemas and proposes a ranking methodology based on knowledge metrics, validated on a large set of schemas.

## Key findings

- The approach effectively ranks schemas by focus.
- Experimental results demonstrate the method's utility.
- Over 200 schemas were evaluated successfully.

## Abstract

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