Lisa Ehrlinger
Lisa Ehrlinger
Researcher at Johannes Kepler University Linz and Software Competence Center Hagenberg
Verified email at scch.at
Title
Cited by
Cited by
Year
Towards a Definition of Knowledge Graphs
L Ehrlinger, W Wöß
Joint Proceedings of the Posters and Demos Track of 12th International …, 2016
2932016
Automated Data Quality Monitoring
L Ehrlinger, W Wöß
Proceedings of the 22nd MIT International Conference on Information Quality …, 2017
142017
A DaQL to monitor data quality in machine learning applications
L Ehrlinger, V Haunschmid, D Palazzini, C Lettner
International Conference on Database and Expert Systems Applications, 227-237, 2019
132019
A survey of data quality measurement and monitoring tools
L Ehrlinger, E Rusz, W Wöß
arXiv preprint arXiv:1907.08138, 2019
122019
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
102019
Semi-Automatically Generated Hybrid Ontologies for Information Integration
L Ehrlinger, W Wöß
Joint Proceedings of the Posters and Demos Track of 11th International …, 2015
92015
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
82018
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
72018
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
52020
A novel data quality metric for minimality
L Ehrlinger, W Wöß
International Workshop on Data Quality and Trust in Big Data, 1-15, 2018
52018
Automated schema quality measurement in large-scale information systems
L Ehrlinger, W Wöß
International Workshop on Data Quality and Trust in Big Data, 16-31, 2018
32018
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, 2021
22021
A Schema Readability Metric for Automated Data Quality Measurement
L Ehrlinger, G Huszar, W Wöß
The Eleventh International Conference on Advances in Databases, Knowledge …, 2019
22019
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
12021
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
12020
Towards a Knowledge Graph to Describe and Process Data Defects
JMB Josko, L Ehrlinger, W Wöß
The Eleventh International Conference on Advances in Databases, Knowledge …, 2019
1*2019
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
2021
Automating Data Quality Monitoring with Reference Data Profiles
L Ehrlinger, B Werth, W Wöß
2020
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