Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor F Bakhshandegan Moghaddam, CF Draschner, J Lehmann, H Jabeen Further with Knowledge Graphs, 74-88, 2021 | 17 | 2021 |
DistRDF2ML: Scalable Distributed In-Memory Machine Learning Pipelines for RDF Knowledge Graphs CF Draschner, C Stadler, F Bakhshandegan Moghaddam, J Lehmann, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 10 | 2021 |
Ethical and Sustainability Considerations for Knowledge Graph based Machine Learning CF Draschner, H Jabeen, J Lehmann 2022 IEEE Fifth International Conference on Artificial Intelligence and …, 2022 | 7 | 2022 |
DistSim: Scalable Distributed in-Memory Semantic Similarity Estimation for RDF Knowledge Graphs CF Draschner, J Lehmann, H Jabeen ICSC - 2021 IEEE 15th International Conference on Semantic Computing (ICSC …, 2021 | 7 | 2021 |
Smart Chef: Evolving Recipes CF Draschner, J Lehmann, H Jabeen EvoStar - EVO* 2019 - Bio-Inspired Computation, 8, 2019 | 5 | 2019 |
Semantic Web Analysis with Flavor of Micro-Services FB Moghaddam, CF Draschner, J Lehmann, H Jabeen Big Data Analytics 3rd Summer School, 2021 | 2 | 2021 |
Semantic Analytics in the Palm of your Browser CF Draschner, FB Moghaddam, J Lehmann, H Jabeen Big Data Analytics 3rd Summer School, 2021 | 2 | 2021 |
SimE4KG: Distributed and Explainable Multi-Modal Semantic Similarity Estimation for Knowledge Graphs CF Draschner, H Jabeen, J Lehmann International Journal of Semantic Computing 17 (02), 199-221, 2023 | 1 | 2023 |
Scalable Distributed Machine Learning for Knowledge Graphs CF Draschner Rheinische Friedrich-Wilhelms-Universität Bonn, 2023 | | 2023 |