Skip to main content

Efficient Explainable Learning on Knowledge Graphs

Objective

Explainable Artificial Intelligence (AI) is key to achieving a human-centred and ethical development of digital and industrial solutions. ENEXA builds upon novel and promising results in knowledge representation and machine learning to develop scalable, transparent and explainable machine learning algorithms for knowledge graphs. The project focuses on knowledge graphs because of their critical role as enabler of new solutions across domains and industries in Europe. Some of the existing machine learning approaches for knowledge graphs are known to already provide guarantees with respect to their completeness and correctness. However, they are still impossible or impractical to deploy on real-world data due to the scale, incompleteness and inconsistency of knowledge graphs in the wild. We devise approaches that maintain formal guarantees pertaining to completeness and correctness while being able to exploit different representations of knowledge graphs in a concurrent fashion. With our new methods, we plan to achieve significant advances in the efficiency and scalability of machine learning, especially on knowledge graphs. A supplementary innovation of ENEXA lies in its approach to explainability. Here, we focus on devising human-centred explainability techniques based on the concept of co-construction, where human and machine enter a conversation to jointly produce human-understandable explanations. Three use cases on business software services, geospatial intelligence and data-driven brand communication have been chosen to apply and validate this new approach. Given their expected growth rates, these sectors will play a major role in future European data value chains.

Coordinator

UNIVERSITAET PADERBORN
Net EU contribution
€ 1 279 625,00
Address
Warburger Strasse 100
33098 Paderborn
Germany

See on map

Region
Nordrhein-Westfalen Detmold Paderborn
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00

Participants (5)

"NATIONAL CENTER FOR SCIENTIFIC RESEARCH ""DEMOKRITOS"""
Greece
Net EU contribution
€ 411 257,50
Address
End Of Patriarchou Grigoriou E And 27 Neapoleos Street
15341 Agia Paraskevi

See on map

Region
Βόρειος Τομέας Αθηνών Aττική Αττική
Activity type
Research Organisations
Non-EU contribution
€ 0,00
EUROPEAN UNION SATELLITE CENTRE
Spain
Net EU contribution
€ 674 115,00
Address
Avenida De Cadiz Ed 457-base Aerea De Torrejon
28850 Torrejon De Ardoz

See on map

Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
Non-EU contribution
€ 0,00
DATEV EG
Germany
Net EU contribution
€ 585 735,00
Address
Paumgartnerstrasse 6-14
90429 Nurnberg

See on map

Region
Bayern Mittelfranken Nürnberg, Kreisfreie Stadt
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 0,00
UNIVERSITEIT VAN AMSTERDAM
Netherlands
Net EU contribution
€ 521 162,00
Address
Spui 21
1012WX Amsterdam

See on map

Region
West-Nederland Noord-Holland Groot-Amsterdam
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
WEBLYZARD TECHNOLOGY GMBH
Austria
Net EU contribution
€ 519 375,00
Address
Puchlgasse 2/44
1190 Wien

See on map

SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Wien Wien
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 0,00