Predicting Asymmetric Transitive Relations in Knowledge Bases

نویسندگان

  • Pushpendre Rastogi
  • Benjamin Van Durme
چکیده

Knowledge Base Completion (KBC), or link prediction, is the task of inferring missing edges in an existing knowledge graph. Although a number of methods have been evaluated empirically on select datasets for KBC, much less attention has been paid to understanding the relationship between the logical properties encoded by a given KB and the KBC method being evaluated. In this paper we study the effect of the logical properties of a relation on the performance of a KBC method, and we present a theorem and empirical results that can guide researchers in choosing the KBC algorithm for a KB.

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تاریخ انتشار 2017