Duration: October 2019 to September 2023

Knowledge Graphs at Scale (KnowGraphs)

Knowledge graphs (KGs) are a flexible knowledge representation paradigm
intended to allow knowledge to be consumed by humans and machines.
Hence, they are regarded as a key enabler for a number of technologies
including question answering, personal assistants and artificial
intelligence across all sectors including Industry 4.0, personalized
medicine, legislation, economics and more. While different
implementations of the KG paradigm are now used by several large
companies (incl. Microsoft, Google, Facebook, Amazon, Samsung, Ebay and
IBM) as a key component of their data products, their use is currently
unattainable for the majority of companies and private users. Custom
formal representation mechanisms, organisation-specific storage
solutions and query languages as well as large dedicated maintenance
teams (often 100+ people per graph) are only some of the current
challenges faced by organizations aiming to manage KGs at scale.
Developing and maintaining a company-specific infrastructure to
represent, construct and maintain KGs is only viable for large
organisations able to afford the corresponding costs. In addition, a
plethora of open questions pertaining to the transfer, applicability and
integration of legal rights of knowledge graphs remain completely
unsolved. The overall objective of KnowGraphs is to scale knowledge
graphs to be accessible to a wide audience of (1) companies of all sizes
and (2) end users across their professional and private life by using a
multi-disciplinary and multisectorial approach.

Funded under the H2020-MSCA-ITN-2019 – Marie Skłodowska-Curie Innovative
Training Networks call

For more information: website