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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)
Place of PublicationHong Kong
PublisherAssociation for Computational Linguistics
Pages177-185
Number of pages9
DOIs
Publication statusPublished - 1 Nov 2019

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