  Knowledge graphs (KGs) have become the standard technology for the
representation of factual information in applications such as recommendation
engines, search, and question-answering systems. However, the continual
updating of KGs, as well as the integration of KGs from different domains and
KGs in different languages, remains to be a major challenge. What we suggest
here is that by a reification of abstract objects and by acknowledging the
ontological distinction between concepts and types, we arrive at an
ontologically grounded and language-agnostic representation that can alleviate
the difficulties in KG integration.
