Regresar

Pbkp_redicting completeness in knowledge bases

Abstract:

Knowledge bases such as Wikidata, DBpedia, or YAGO contain millions of entities and facts. In some knowledge bases, the correctness of these facts has been evaluated. However, much less is known about their completeness, i.e., the proportion of real facts that the knowledge bases cover. In this work, we investigate different signals to identify the areas where the knowledge base is complete. We show that we can combine these signals in a rule mining approach, which allows us to pbkp_redict where facts may be missing. We also show that completeness pbkp_redictions can help other applications such as fact inference.