Box Embeddings for the Description Logic EL++. (arXiv:2201.09919v1 [cs.AI])

Web: http://arxiv.org/abs/2201.09919

Recently, various methods for representation learning on Knowledge Bases
(KBs) have been developed. However, these approaches either only focus on
learning the embeddings of the data-level knowledge (ABox) or exhibit inherent
limitations when dealing with the concept-level knowledge (TBox), e.g., not
properly modelling the structure of the logical knowledge. We present BoxEL, a
geometric KB embedding approach that allows for better capturing logical
structure expressed in the theories of Description Logic EL++. BoxEL models
concepts in a KB as axis-parallel …

ai arxiv