| Towards a knowledge graph representing research findings by semantifying survey articles S Fathalla, S Vahdati, S Auer, C Lange Research and Advanced Technology for Digital Libraries: 21st International …, 2017 | 61 | 2017 |
| OpenResearch: collaborative management of scholarly communication metadata S Vahdati, N Arndt, S Auer, C Lange Knowledge Engineering and Knowledge Management: 20th International …, 2016 | 33 | 2016 |
| Semantic publishing challenge–assessing the quality of scientific output by information extraction and interlinking AD Iorio, C Lange, A Dimou, S Vahdati Semantic Web Evaluation Challenges: Second SemWebEval Challenge at ESWC 2015 …, 2015 | 29 | 2015 |
| Unveiling scholarly communities over knowledge graphs S Vahdati, G Palma, RJ Nath, C Lange, S Auer, ME Vidal Digital Libraries for Open Knowledge: 22nd International Conference on …, 2018 | 26 | 2018 |
| Trans4E: Link prediction on scholarly knowledge graphs M Nayyeri, GM Cil, S Vahdati, F Osborne, M Rahman, S Angioni, ... Neurocomputing 461, 530-542, 2021 | 25 | 2021 |
| Embedding-based recommendations on scholarly knowledge graphs M Nayyeri, S Vahdati, X Zhou, H Shariat Yazdi, J Lehmann The Semantic Web: 17th International Conference, ESWC 2020, Heraklion, Crete …, 2020 | 24 | 2020 |
| 5* knowledge graph embeddings with projective transformations M Nayyeri, S Vahdati, C Aykul, J Lehmann Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9064-9072, 2021 | 23 | 2021 |
| Knowledge graphs: the layered perspective L Bellomarini, E Sallinger, S Vahdati Knowledge Graphs and Big Data Processing 12072, 20, 2020 | 21 | 2020 |
| SemSur: a core ontology for the semantic representation of research findings S Fathalla, S Vahdati, S Auer, C Lange Procedia Computer Science 137, 151-162, 2018 | 21 | 2018 |
| Analysing scholarly communication metadata of computer science events S Fathalla, S Vahdati, C Lange, S Auer Research and Advanced Technology for Digital Libraries: 21st International …, 2017 | 21 | 2017 |
| Identifying and improving dataset references in social sciences full texts B Ghavimi, P Mayr, S Vahdati, C Lange arXiv preprint arXiv:1603.01774, 2016 | 18 | 2016 |
| OpenAIRE LOD services: scholarly communication data as linked data G Alexiou, S Vahdati, C Lange, G Papastefanatos, S Lohmann Semantics, Analytics, Visualization. Enhancing Scholarly Data: Second …, 2016 | 18 | 2016 |
| Mapping large scale research metadata to linked data: A performance comparison of HBase, CSV and XML S Vahdati, F Karim, JY Huang, C Lange Metadata and Semantics Research: 9th Research Conference, MTSR 2015 …, 2015 | 17 | 2015 |
| OpenCourseWare Observatory--Does the Quality of OpenCourseWare Live up to its Promise? S Vahdati, C Lange, S Auer arXiv preprint arXiv:1410.5694, 2014 | 17 | 2014 |
| Metaresearch recommendations using knowledge graph embeddings V Henk, S Vahdati, M Nayyeri, M Ali, HS Yazdi, J Lehmann The AAAI-19 Workshop on Recommender Systems and Natural Language Processing …, 2019 | 15 | 2019 |
| Metadata analysis of scholarly events of computer science, physics, engineering, and mathematics S Fathalla, S Vahdati, S Auer, C Lange Digital Libraries for Open Knowledge: 22nd International Conference on …, 2018 | 15 | 2018 |
| Chapter 6 reasoning in knowledge graphs: an embeddings spotlight L Bellomarini, E Sallinger, S Vahdati Knowledge Graphs and Big Data Processing, 87-101, 2020 | 14 | 2020 |
| Soft marginal transe for scholarly knowledge graph completion M Nayyeri, S Vahdati, J Lehmann, HS Yazdi arXiv preprint arXiv:1904.12211, 2019 | 14 | 2019 |
| Challenges as enablers for high quality Linked Data: insights from the Semantic Publishing Challenge A Dimou, S Vahdati, A Di Iorio, C Lange, R Verborgh, E Mannens PeerJ Computer Science 3, e105, 2017 | 14 | 2017 |
| Semantic representation of scientific publications S Vahdati, S Fathalla, S Auer, C Lange, ME Vidal Digital Libraries for Open Knowledge: 23rd International Conference on …, 2019 | 11 | 2019 |
Jens LehmannPrincipal Scientist at Amazon Alexa AI, Honorary Professor at TU DresdenVerified email at amazon.com
