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DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings

2019-11-01 · WS 2019 11 · Viktor Schlegel, Andr{\'e} Freitas

This paper describes DBee, a database to support the construction of data-intensive AI applications. DBee provides a unique data model which operates jointly over large-scale knowledge graphs (KGs) and embedding vector spaces (VSs). This model supports queries which exploit the semantic properties of both types of representations (KGs and VSs). Additionally, DBee aims to facilitate the construction of KGs and VSs, by providing a library of generators, which can be used to create, integrate and transform data into KGs and VSs.

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