Project description DEENESFRITPL Improved knowledge graphs key to working with artificial intelligence data more efficiently Explainable artificial intelligence is a set of tools and processes that allows humans to understand and interpret predictions made by machine learning models. Knowledge graphs, together with artificial intelligence, can improve the accuracy and trustworthiness of the model outcomes. However, current knowledge graphs are limited in their ability to map complex, interconnected data at scale. Building upon recent advances in knowledge representation and artificial intelligence, the EU-funded ENEXA project will develop scalable, transparent and explainable machine learning algorithms for knowledge graphs. The focus will be placed on devising human-centred explainability techniques based on co-construction, where humans and machines initiate a conversation to jointly produce human-understandable explanations. To validate the proposed approaches, researchers will cover three use cases: business software services, geospatial intelligence and data-driven brand communications. Show the project objective Hide the project objective 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. Fields of science natural sciencescomputer and information sciencessoftwarenatural sciencescomputer and information sciencesknowledge engineeringnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) HORIZON.2.4 - Digital, Industry and Space Main Programme HORIZON.2.4.5 - Artificial Intelligence and Robotics Topic(s) HORIZON-CL4-2021-HUMAN-01-01 - Verifiable robustness, energy efficiency and transparency for Trustworthy AI: Scientific excellence boosting industrial competitiveness (AI, Data and Robotics Partnership) (RIA) Call for proposal HORIZON-CL4-2021-HUMAN-01 See other projects for this call Funding Scheme HORIZON-AG - HORIZON Action Grant Budget-Based 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 Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Participants (5) Sort alphabetically Sort by Net EU contribution Expand all Collapse all "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 Αττική Aττική Βόρειος Τομέας Αθηνών Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 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) Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 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) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 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 Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 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 Ostösterreich Wien Wien Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00