DICEWe are looking forward to working with
@openlink and eccenca GmbH on our new Eurostars Project “SPARQL-ML - Machine Learning for SPARQL Query Optimization”.🤝🥳
➡️Find out more about the project here: https://sparql-ml.eu
🤝 KnowGraphs is funded by the European Union within the Horizon 2020 research and innovation programme.
🎓 The focus of the research of DICE is on performant triple stores, the detection of the veracity of triples in a knowledge graph and symbolic #MachineLearning.
➡️Learn more about KnowGraphs here: https://knowgraphs.eu
🎓Within this project, DICE researches on using different representations of knowledge graphs to develop explainable #MachineLearning algorithms.
➡️Learn more: https://enexa.eu/
Another one of our #DICEprojects ➡️ NEBULA is a research project that explores how vulnerable groups can be empowered to identify fake news & false information.🧐💡🤩
🤝The project is led by @PEASEC and joint by partners @diceresearch, #UniSiegen, #HochschuleBonnRheinSieg & #NanoGiants. NEBULA is funded by @bmbf_bund.
🎓The main task of DICE is to identify false information & fake news automatically using a knowledge graph-based approach.
ℹ️Learn more here: https://nebula.peasec.de
🎓DICE contributes to research on improving the efficiency of AI in various sub-projects.
ℹ️Further information can be found here: https://sail.nrw
SAIL - Sustainable Life-cycle of Intelligent Socio-Technical Systems
SAIL is an interdisciplinary and interinstitutional collaboration of Bielefeld University, Paderborn University, Hochschule Bielefeld – University of Applied Sciences and Arts (HSBI) and OWL University of Applied Sciences and Arts (TH OWL), funded by the MKW NRW. Current systems that incorporate AI technology mainly target the introduction phase, where a core component is training and […]
Today another research project in which DICE is participating:
ℹ️ INGRID (Information System Graffiti in Germany) is a joint project of #PaderbornUniversity and @KIT_Karlsruhe in which linguistics (UPB) & art history (KIT) are involved.🤝 It provides a scientific view of the phenomenon of #graffiti
🎓 Within INGRID, DICE creates and maintains a comprehensive RDF #KnowledgeGraph of annotated graffiti images for scientific use.🌈
➡️More information: https://uni-paderborn.de/forschungsprojekte/ingrid/projekt
🎓 DICE focuses on research on issues related to the life cycle of #KnowledgeGraphs and #MachineLearning methods especially when dealing with unstructured and semi-structured data.👨💻
➡️More information about the project can be found here: https://sicp.de/projekte/climate-bowl