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KnowGraphs SIGNED

Knowledge Graphs at Scale

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "KnowGraphs" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET PADERBORN 

Organization address
address: WARBURGER STRASSE 100
city: PADERBORN
postcode: 33098
website: www.uni-paderborn.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 3˙873˙641 €
 EC max contribution 3˙873˙641 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2019
 Funding Scheme MSCA-ITN-ETN
 Starting year 2019
 Duration (year-month-day) from 2019-10-01   to  2023-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET PADERBORN DE (PADERBORN) coordinator 758˙365.00
2    GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER DE (HANNOVER) participant 758˙365.00
3    RIJKSUNIVERSITEIT GRONINGEN NL (GRONINGEN) participant 531˙239.00
4    UNIVERSITEIT MAASTRICHT NL (MAASTRICHT) participant 531˙239.00
5    WIRTSCHAFTSUNIVERSITAT WIEN AT (WIEN) participant 528˙414.00
6    BABELSCAPE SRL IT (ROMA) participant 522˙999.00
7    IDRYMA TECHNOLOGIAS KAI EREVNAS EL (IRAKLEIO) participant 243˙017.00

Map

 Project objective

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 (summarized in Figure 1.1) 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 multi-sectorial approach.

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The information about "KNOWGRAPHS" are provided by the European Opendata Portal: CORDIS opendata.

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