| Industrial applications of answer set programming A Falkner, G Friedrich, K Schekotihin, R Taupe, EC Teppan KI-Künstliche Intelligenz 32 (2), 165-176, 2018 | 155 | 2018 |
| A reinforcement learning environment for job-shop scheduling P Tassel, M Gebser, K Schekotihin arXiv preprint arXiv:2104.03760, 2021 | 125 | 2021 |
| Interactive ontology debugging: Two query strategies for efficient fault localization K Shchekotykhin, G Friedrich, P Fleiss, P Rodler Journal of Web Semantics 12, 88-103, 2012 | 117 | 2012 |
| A general diagnosis method for ontologies G Friedrich, K Shchekotykhin International Semantic Web Conference, 232-246, 2005 | 104 | 2005 |
| Combining answer set programming and domain heuristics for solving hard industrial problems (application paper) C Dodaro, P Gasteiger, N Leone, B Musitsch, F Ricca, K Shchekotykhin Theory and Practice of Logic Programming 16 (5-6), 653-669, 2016 | 78 | 2016 |
| OntoDebug: Interactive ontology debugging plug-in for Protégé K Schekotihin, P Rodler, W Schmid International Symposium on Foundations of Information and Knowledge Systems …, 2018 | 62 | 2018 |
| Automated ontology instantiation from tabular web sources—the AllRight system D Jannach, K Shchekotykhin, G Friedrich Journal of Web Semantics 7 (3), 136-153, 2009 | 40 | 2009 |
| Debugging user interface descriptions of knowledge-based recommender applications A Felfernig, K Shchekotykhin Proceedings of the 11th international conference on Intelligent user …, 2006 | 40 | 2006 |
| Are query-based ontology debuggers really helping knowledge engineers? P Rodler, D Jannach, K Schekotihin, P Fleiss Knowledge-Based Systems 179, 92-107, 2019 | 38 | 2019 |
| An end-to-end reinforcement learning approach for job-shop scheduling problems based on constraint programming P Tassel, M Gebser, K Schekotihin Proceedings of the International Conference on Automated Planning and …, 2023 | 36 | 2023 |
| Debugging non-ground ASP programs: Technique and graphical tools C Dodaro, P Gasteiger, K Reale, F Ricca, K Schekotihin Theory and Practice of Logic Programming 19 (2), 290-316, 2019 | 35 | 2019 |
| Argumentation based constraint acquisition K Shchekotykhin, G Friedrich 2009 Ninth IEEE International Conference on Data Mining, 476-482, 2009 | 35 | 2009 |
| Parallelized hitting set computation for model-based diagnosis D Jannach, T Schmitz, K Shchekotykhin Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 33 | 2015 |
| Semiconductor fab scheduling with self-supervised and reinforcement learning P Tassel, B Kovács, M Gebser, K Schekotihin, P Stöckermann, G Seidel 2023 Winter Simulation Conference (WSC), 1924-1935, 2023 | 30 | 2023 |
| Test-Driven Ontology Development in Protégé. K Schekotihin, P Rodler, W Schmid, M Horridge, T Tudorache ICBO, 2018 | 28 | 2018 |
| A distributed approach to LARS stream reasoning (system paper) T Eiter, P Ogris, K Schekotihin Theory and Practice of Logic Programming 19 (5-6), 974-989, 2019 | 27 | 2019 |
| Problem decomposition and multi-shot ASP solving for job-shop scheduling MMS El-Kholany, M Gebser, K Schekotihin Theory and Practice of Logic Programming 22 (4), 623-639, 2022 | 25 | 2022 |
| Query strategy for sequential ontology debugging K Shchekotykhin, G Friedrich International Semantic Web Conference, 696-712, 2010 | 25 | 2010 |
| xCrawl: a high-recall crawling method for Web mining K Shchekotykhin, D Jannach, G Friedrich Knowledge and Information Systems 25 (2), 303-326, 2010 | 25 | 2010 |
| Reducing Model-Based Diagnosis to Knowledge Base Debugging. P Rodler, K Schekotihin DX, 284-296, 2017 | 23 | 2017 |
Gerhard FriedrichProfessor of Computer Science, Alpen-Adria Universität KlagenfurtVerified email at aau.at
