A Method for Building Personalized Ontology Summaries
Paulo Orlando Queiroz-Sousa, Ana Carolina Salgado, Carlos Eduardo Santos Pires · Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais) · 2013
In the context of ontology engineering, the ontology understanding is the basis for its further development and reuse. One intuitive eective approach to support ontology understanding is the process of ontology summarization which highlights the most important concepts of an ontology. Ontology summarization identi es an excerpt from an ontology that contains the most relevant concepts and produces an abridged ontology. In this article, we present a method for summarizing ontologies that represent a data source schema or describe a knowledge domain. We propose an algorithm to produce a personalized ontology summary based on user-de ned parameters, e.g. summary size. The relevance of a concept is determined through user indication or centrality measures, commonly used to determine the relative importance of a vertex within a graph. The algorithm searches for the best ontology summary, i.e., the one containing the most relevant ontology concepts respecting all the original relationships between concepts and the parameters set by the user. Experiments were done comparing our generated ontology summaries against golden standard summaries as well as summaries produced by methods available in related work. We achieved in average more than 62.5% of similarity with golden standard summaries.