| Towards a Definition of Knowledge Graphs L Ehrlinger, W Wöß Joint Proceedings of the Posters and Demos Track of 12th International …, 2016 | 920 | 2016 |
| A survey of data quality measurement and monitoring tools L Ehrlinger, W Wöß Frontiers in Big Data 5 (850611), 2022 | 105 | 2022 |
| Knowledge graphs in manufacturing and production: A systematic literature review G Buchgeher, D Gabauer, J Martinez-Gil, L Ehrlinger IEEE Access 9, 55537-55554, 2021 | 79 | 2021 |
| A DaQL to monitor data quality in machine learning applications L Ehrlinger, V Haunschmid, D Palazzini, C Lettner Database and Expert Systems Applications: 30th International Conference …, 2019 | 51 | 2019 |
| Ai system engineering—key challenges and lessons learned L Fischer, L Ehrlinger, V Geist, R Ramler, F Sobiezky, W Zellinger, ... Machine Learning and Knowledge Extraction 3 (1), 56-83, 2020 | 47 | 2020 |
| Treating Missing Data in Industrial Data Analytics L Ehrlinger, T Grubinger, BG Varga, M Pichler, T Natschläger, J Zeindl Proceedings of the 13th International Conference on Digital Information …, 2018 | 33 | 2018 |
| Automated Data Quality Monitoring L Ehrlinger, W Wöß Proceedings of the 22nd MIT International Conference on Information Quality …, 2017 | 30 | 2017 |
| Automated Continuous Data Quality Measurement with QuaIIe L Ehrlinger, B Werth, W Wöß International Journal on Advances in Software 11 (3 & 4), 400-417, 2019 | 24 | 2019 |
| Data catalogs: a systematic literature review and guidelines to implementation L Ehrlinger, J Schrott, M Melichar, N Kirchmayr, W Wöß Database and Expert Systems Applications-DEXA 2021 Workshops: BIOKDD, IWCFS …, 2021 | 22 | 2021 |
| A novel data quality metric for minimality L Ehrlinger, W Wöß Data Quality and Trust in Big Data: 5th International Workshop, QUAT 2018 …, 2019 | 15 | 2019 |
| Applying AI in practice: key challenges and lessons learned L Fischer, L Ehrlinger, V Geist, R Ramler, F Sobieczky, W Zellinger, ... International Cross-Domain Conference for Machine Learning and Knowledge …, 2020 | 13 | 2020 |
| QuaIIe: A Data Quality Assessment Tool for Integrated Information Systems L Ehrlinger, B Werth, W Wöß The Tenth International Conference on Advances in Databases, Knowledge, and …, 2018 | 13 | 2018 |
| Semi-Automatically Generated Hybrid Ontologies for Information Integration L Ehrlinger, W Wöß Joint Proceedings of the Posters and Demos Track of 11th International …, 2015 | 13 | 2015 |
| Automated schema quality measurement in large-scale information systems L Ehrlinger, W Wöß Data Quality and Trust in Big Data: 5th International Workshop, QUAT 2018 …, 2019 | 9 | 2019 |
| Enhancing transe to predict process behavior in temporal knowledge graphs A Karetnikov, L Ehrlinger, V Geist International Conference on Database and Expert Systems Applications, 369-374, 2022 | 8 | 2022 |
| Missing data patterns: From theory to an application in the steel industry M Bechny, F Sobieczky, J Zeindl, L Ehrlinger Proceedings of the 33rd International Conference on Scientific and …, 2021 | 8 | 2021 |
| Discovering DataOps: A Comprehensive Review of Definitions, Use Cases, and Tools K Mainali, L Ehrlinger, M Matskin, J Himmelbauer The Tenth International Conference on Data Analytics, 61-69, 2021 | 7 | 2021 |
| Daql 2.0: Measure data quality based on entity models C Lettner, R Stumptner, W Fragner, F Rauchenzauner, L Ehrlinger Procedia Computer Science 180, 772-777, 2021 | 7 | 2021 |
| Knowledge Graph Embeddings for News Article Tag Recommendation N Engleitner, W Kreiner, N Schwarz, T Kopetzky, L Ehrlinger Semantics Compound Volume 2021 2941, 2021 | 6 | 2021 |
| Tackling Semantic Shift in Industrial Streaming Data Over Time L Ehrlinger, C Lettner, J Himmelbauer The welfth International Conference on Advances in Databases, Knowledge, and …, 2020 | 5 | 2020 |
Christian LettnerSoftware Competence Center Hagenberg GmbH (SCCH)Dirección de correo verificada de scch.at
