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Laura Waltersdorfer
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2020 – today
- 2023
- [j3]Kristof Meixner, Felix Rinker, Laura Waltersdorfer, Arndt Lüder, Stefan Biffl:
Organizing reuse for production systems engineering with capabilities and skills. Autom. 71(2): 116-127 (2023) - [j2]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Annette ten Teije, Frank van Harmelen:
Combining Machine Learning and Semantic Web: A Systematic Mapping Study. ACM Comput. Surv. 55(14s): 313:1-313:41 (2023) - [j1]Felix Rinker, Laura Waltersdorfer, Kristof Meixner, Dietmar Winkler, Arndt Lüder, Stefan Biffl:
Traceable Multi-view Model Integration: A Transformation Pipeline for Agile Production Systems Engineering. SN Comput. Sci. 4(2): 205 (2023) - [c20]Fajar J. Ekaputra, Majlinda Llugiqi, Marta Sabou, Andreas Ekelhart, Heiko Paulheim, Anna Breit, Artem Revenko, Laura Waltersdorfer, Kheir Eddine Farfar, Sören Auer:
Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG. ESWC 2023: 372-389 - [c19]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Sotirios Karampatakis, Tomasz Miksa, Gregor Käfer:
Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction. ESWC 2023: 609-624 - [c18]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Frank van Harmelen, Annette ten Teije:
Combining Machine Learning and Semantic Web: A Systematic Mapping Study. NeSy 2023: 424 - [p2]Laura Waltersdorfer, Anna Breit, Fajar J. Ekaputra, Marta Sabou, Andreas Ekelhart, Andreea Iana, Heiko Paulheim, Jan Portisch, Artem Revenko, Annette ten Teije, Frank van Harmelen:
Semantic Web Machine Learning Systems: An Analysis of System Patterns. Compendium of Neurosymbolic Artificial Intelligence 2023: 77-99 - [i2]Fajar J. Ekaputra, Majlinda Llugiqi, Marta Sabou, Andreas Ekelhart, Heiko Paulheim, Anna Breit, Artem Revenko, Laura Waltersdorfer, Kheir Eddine Farfar, Sören Auer:
Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG. CoRR abs/2303.15113 (2023) - 2022
- [c17]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Tomasz Miksa, Marta Sabou:
A Lifecycle Framework for Semantic Web Machine Learning Systems. DEXA Workshops 2022: 359-368 - [c16]Fajar J. Ekaputra, Laura Waltersdorfer, Anna Breit, Marta Sabou:
Towards a Standardized Description of SemanticWeb Machine Learning Systems. SEMANTiCS (Posters & Demos) 2022 - [c15]Felix Rinker, Sebastian Kropatschek, Thorsten Steuer, Elmar Kiesling, Kristof Meixner, Laura Waltersdorfer, Patrik Sommer, Arndt Lüder, Dietmar Winkler, Stefan Biffl:
Multi-view FMEA Re-validation: Efficient Risk and Engineering Knowledge Integration in Agile Production Systems Engineering. MODELSWARD (Revised Selected Papers) 2022: 60-83 - 2021
- [c14]Laura Waltersdorfer, Anna Breit, Fajar J. Ekaputra, Marta Sabou:
Bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study. DEXA Workshops 2021: 81-90 - [c13]Felix Rinker, Kristof Meixner, Laura Waltersdorfer, Dietmar Winkler, Arndt Lüder, Stefan Biffl:
Towards Efficient Generation of a Multi-Domain Engineering Graph with Common Concepts. ETFA 2021: 1-4 - [c12]Felix Rinker, Laura Waltersdorfer, Kristof Meixner, Dietmar Winkler, Arndt Lüder, Stefan Biffl:
Continuous Integration in Multi-view Modeling: A Model Transformation Pipeline Architecture for Production Systems Engineering. MODELSWARD 2021: 286-293 - [i1]Tomasz Miksa, Tanja Sarcevic, Rudolf Mayer, Laura Waltersdorfer:
WellFort: A Platform for Privacy-Preserving Data Analysis. ERCIM News 2021(126) (2021) - 2020
- [c11]Anna Breit, Laura Waltersdorfer, Fajar J. Ekaputra, Marta Sabou:
An Architecture for Extracting Key Elements from Legal Permits. IEEE BigData 2020: 2105-2110 - [c10]Felix Rinker, Laura Waltersdorfer, Stefan Biffl:
Towards Test-Driven Model Development in Production Systems Engineering. ICEIS (1) 2020: 213-219 - [c9]Laura Waltersdorfer, Felix Rinker, Lukas Kathrein, Stefan Biffl:
Experiences with technical debt and management strategies in production systems engineering. TechDebt@ICSE 2020: 41-50 - [c8]Felix Rinker, Laura Waltersdorfer, Manuel Schüller, Dietmar Winkler:
Graph-based Model Inspection Tool for Multi-disciplinary Production Systems Engineering. MODELSWARD 2020: 116-125 - [c7]Felix Rinker, Laura Waltersdorfer, Manuel Schüller, Stefan Biffl, Dietmar Winkler:
A Multi-Model Reviewing Approach for Production Systems Engineering Models. MODELSWARD (Revised Selected Papers) 2020: 121-146
2010 – 2019
- 2019
- [c6]Stefan Biffl, Arndt Lüder, Felix Rinker, Laura Waltersdorfer:
Efficient Engineering Data Exchange in Multi-disciplinary Systems Engineering. CAiSE 2019: 17-31 - [c5]Felix Rinker, Laura Waltersdorfer, Kristof Meixner, Stefan Biffl:
Towards Support of Global Views on Common Concepts employing Local Views. ETFA 2019: 1686-1689 - [c4]Stefan Biffl, Fajar J. Ekaputra, Arndt Lüder, Johanna-Lisa Pauly, Felix Rinker, Laura Waltersdorfer, Dietmar Winkler:
Technical Debt Analysis in Parallel Multi-Disciplinary Systems Engineering. SEAA 2019: 342-346 - [c3]Stefan Biffl, Arndt Lüder, Felix Rinker, Laura Waltersdorfer, Dietmar Winkler:
Quality Risks in the Data Exchange Process for Collaborative CPPS Engineering. INDIN 2019: 1217-1224 - [c2]Arndt Lüder, Konstantin Kirchheim, Johanna-Lisa Pauly, Stefan Biffl, Felix Rinker, Laura Waltersdorfer:
Supporting the Data Model Integrator in an Engineering Network by Automating Data Integration. INDIN 2019: 1229-1234 - [c1]Stefan Biffl, Lukas Kathrein, Arndt Lüder, Kristof Meixner, Marta Sabou, Laura Waltersdorfer, Dietmar Winkler:
Software Engineering Risks from Technical Debt in the Representation of Product/ion Knowledge. SEKE 2019: 693-777 - [p1]Stefan Biffl, Arndt Lüder, Felix Rinker, Laura Waltersdorfer, Dietmar Winkler:
Engineering Data Logistics for Agile Automation Systems Engineering. Security and Quality in Cyber-Physical Systems Engineering 2019: 187-225
Coauthor Index
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