Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan Simon Razniewski Jan-Christoph Kalo Sneha Singhania Jiaoyan Chen Stefan Dietze Hajira Jabeen Janna Omeliyanenko Wen Zhang Matteo Lissandrini Russa Biswas Gerard de Melo Angela Bonifati Edlira Vakaj Mauro Dragoni Damien Graux
Large Language Models (LLMs) have taken Knowledge Representation -- and the
world -- by storm. This inflection point marks a shift from explicit knowledge
representation to a renewed focus on the hybrid representation of both explicit
knowledge and parametric knowledge. In this position paper, we will discuss
some of the common debate points within the community on LLMs (parametric
knowledge) and Knowledge Graphs (explicit knowledge) and speculate on
opportunities and visions that the renewed focus brings, as well as related
research topics and challenges.