Semi-Automatically Generated Hybrid Ontologies for Information Integration. - Lisa Ehrlinger; Johannes Kepler; Wolfram Wöß (SEMANTiCS (Posters & Demos), 2015)

Towards a Definition of Knowledge Graphs. - Lisa Ehrlinger; Wolfram Wöß (SEMANTiCS (Posters, Demos, SuCCESS), 2016)

Automated Data Quality Monitoring. - Lisa Ehrlinger; Wolfram Wöß (ICIQ, 2017)

Treating Missing Data in Industrial Data Analytics. - Lisa Ehrlinger; Thomas Grubinger; Bence Varga; Mario Pichler; Thomas Natschläger; Jürgen Zeindl (ICDIM, 2018)

A Novel Data Quality Metric for Minimality. - Lisa Ehrlinger; Wolfram Wöß (QUAT@WISE, 2018)

Automated Schema Quality Measurement in Large-Scale Information Systems. - Lisa Ehrlinger; Wolfram Wöß (QUAT@WISE, 2018)

A DaQL to Monitor Data Quality in Machine Learning Applications. - Lisa Ehrlinger; Verena Haunschmid; Davide Palazzini; Christian Lettner (DEXA (1), 2019)

A Survey of Data Quality Measurement and Monitoring Tools. - Lisa Ehrlinger; Elisa Rusz; Wolfram Wöß (CoRR, 2019)

Applying AI in Practice: Key Challenges and Lessons Learned. - Lukas Fischer 001; Lisa Ehrlinger; Verena Geist; Rudolf Ramler; Florian Sobieczky; Werner Zellinger; Bernhard Moser 001 (CD-MAKE, 2020)

DaQL 2.0: Measure Data Quality based on Entity Models. - Christian Lettner; Reinhard Stumptner; Werner Fragner; Franz Rauchenzauner; Lisa Ehrlinger (ISM, 2020)

DQ-MeeRKat: Automating Data Quality Monitoring with a Reference-Data-Profile-Annotated Knowledge Graph. - Lisa Ehrlinger; Alexander Gindlhumer; Lisa-Marie Huber; Wolfram Wöß (DATA, 2021)

Data Catalogs: A Systematic Literature Review and Guidelines to Implementation. - Lisa Ehrlinger; Johannes Schrott; Martin Melichar; Nicolas Kirchmayr; Wolfram Wöß (DEXA Workshops, 2021)

Knowledge Graph Embeddings for News Article Tag Recommendation. - Nora Engleitner; Werner Kreiner; Nicole Schwarz; Theodorich Kopetzky; Lisa Ehrlinger (SEMANTiCS (Posters & Demos), 2021)

Missing Data Patterns: From Theory to an Application in the Steel Industry. - Michal Bechny; Florian Sobieczky; Jürgen Zeindl; Lisa Ehrlinger (SSDBM, 2021)

Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review. - Georg Buchgeher; David Gabauer; Jorge Martinez-Gil; Lisa Ehrlinger (IEEE Access, 2021)

AI System Engineering - Key Challenges and Lessons Learned. - Lukas Fischer 001; Lisa Ehrlinger; Verena Geist; Rudolf Ramler; Florian Sobieczky; Werner Zellinger; David Brunner; Mohit Kumar 001; Bernhard Moser 001 (Mach. Learn. Knowl. Extr., 2021)

Automating Data Quality Monitoring with Reference Data Profiles. - Lisa Ehrlinger; Bernhard Werth; Wolfram Wöß (DATA (Revised Selected Papers), 2022)

Data Integration, Management, and Quality: From Basic Research to Industrial Application. - Lisa Ehrlinger; Christian Lettner; Werner Fragner; Günter Gsellmann; Susanne Nestelberger; Franz Rauchenzauner; Stefan Schützeneder; Martin Tiefengrabner; Jürgen Zeindl (DEXA Workshops, 2022)

Enhancing TransE to Predict Process Behavior in Temporal Knowledge Graphs. - Aleksei Karetnikov; Lisa Ehrlinger; Verena Geist (DEXA Workshops, 2022)

Representing Technical Standards as Knowledge Graph to Guide the Design of Industrial Systems. - Jose Illescas; Georg Buchgeher; Lisa Ehrlinger; David Gabauer; Jorge Martinez-Gil (EUROCAST, 2022)

GOLDCASE: A Generic Ontology Layer for Data Catalog Semantics. - Johannes Schrott; Sabine Weidinger; Martin Tiefengrabner; Christian Lettner; Wolfram Wöß; Lisa Ehrlinger (MTSR, 2022)

A Survey of Data Quality Measurement and Monitoring Tools. - Lisa Ehrlinger; Wolfram Wöß (Frontiers Big Data, 2022)

DSD: The Data Source Description Vocabulary. - Lisa Ehrlinger; Johannes Schrott; Wolfram Wöß (DEXA Workshops, 2023)

Towards an Ontology for Technical Security Standards. - Jose Illescas; Lisa Ehrlinger; Gandalf Denk; Georg Buchgeher (ETFA, 2023)

Ontology-Based Multi-perspective Process Mining in Laboratories: A Case Study. - Elisabeth Mayrhuber; Emmanuel Helm; Lisa Ehrlinger (ICPM Workshops, 2023)

DQD: The Data Quality Definition Ontology. - Johannes Schrott; Rainer Meindl; Christian Lettner; Wolfram Wöß; Lisa Ehrlinger (MTSR, 2023)

Four Factors Affecting Missing Data Imputation. - Andreas Hackl; Jürgen Zeindl; Lisa Ehrlinger (SSDBM, 2023)

Preface QDB. - Lisa Ehrlinger; Hazar Harmouch; Ihab F. Ilyas; Felix Naumann (VLDB Workshops, 2023)

Editorial: Automated data curation and data governance automation. - John R. Talburt; Lisa Ehrlinger; Justin Magruder (Frontiers Big Data, 2023)

A News Article Tag Categorization Ontology. - Lisa Ehrlinger; Harald Holzner; Nora Hemelmayr; Wolfram Wöß (SAC, 2024)

13th International Workshop on Quality in Databases: Preface. - Sourav S. Bhowmick; Lisa Ehrlinger; Hazar Harmouch (VLDB Workshops, 2024)

Semantic Modeling of Architecture Decision Records to Enable AI-based Analysis. - Aleksei Karetnikov; Lisa Ehrlinger; Georg Buchgeher; Verena Geist (SANER, 2024)

Data Validation Utilizing Expert Knowledge and Shape Constraints. - Florian Bachinger; Lisa Ehrlinger; Gabriel Kronberger; Wolfram Wöß (ACM J. Data Inf. Qual., 2024)

A Data Quality Dashboard for (Security) Knowledge Graphs. - Davyd Pizhuk; Lisa Ehrlinger; Gandalf Denk; Verena Geist (BTW, 2025)

Icewafl: A Configurable Data Stream Polluter. - Christoph Schinninger; Fabian Panse; Constantin Kühne; Lisa Ehrlinger (EDBT, 2025)

A Survey on the Functionalities of Data Catalog Tools. - Jasmin Kropshofer; Johannes Schrott; Wolfram Wöß; Lisa Ehrlinger (IEEE Access, 2025)

The Five Facets of Data Quality Assessment. - Sedir Mohammed; Lisa Ehrlinger; Hazar Harmouch; Felix Naumann; Divesh Srivastava (SIGMOD Rec., 2025)

Unfolding Data Quality Dimensions in Practice: A Survey. - Vasileios Papastergios; Lisa Ehrlinger; Anastasios Gounaris (CoRR, 2025)

Is SHACL Suitable for Data Quality Assessment? - Carolina Cortes; Lisa Ehrlinger; Lorena Etcheverry; Felix Naumann (CoRR, 2025)