TU Wien Informatics

20 Years

Role

  • WellFort
    2019 – 2022 / Austrian Research Promotion Agency (FFG)
  • Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG / Ekaputra, F. J., Llugiqi, M., Sabou, M., Ekelhart, A., Paulheim, H., Breit, A., Revenko, A., Waltersdorfer, L., Farfar, K. E., & Auer, S. (2023). Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG. In C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, & S. Hertling (Eds.), The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings (pp. 372–389). Springer Cham. https://doi.org/10.1007/978-3-031-33455-9_22
    Project: SPFBT (2020–2024)
  • Organizing reuse for production systems engineering with capabilities and skills / Meixner, K., Rinker, F. P., Waltersdorfer, L., Lüder, A., & Biffl, S. (2023). Organizing reuse for production systems engineering with capabilities and skills. Automatisierungstechnik, 71(2), 116–126. https://doi.org/10.1515/auto-2022-0120
    Download: open access (952 KB)
    Project: CDL-SQI (2018–2024)
  • Semantic Web Machine Learning Systems: An Analysis of System Patterns / Waltersdorfer, L., Breit, A., Ekaputra, F. J., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., ten Teije, A., & van Harmelen, F. (2023). Semantic Web Machine Learning Systems: An Analysis of System Patterns. In P. Hitzler, K. Sarker, & A. Eberhart (Eds.), Compendium of Neurosymbolic Artificial Intelligence (Vol. 369, pp. 77–99). IOS Press. https://doi.org/10.3233/FAIA230136
    Project: OBARIS (2020–2022)
  • Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction / Breit, A., Waltersdorfer, L., Ekaputra, F. J., Karampatakis, S., Miksa, T., & Käfer, G. (2023). Combining Semantic Web and Machine Learning for Auditable Legal Key Element Extraction. In The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28–June 1, 2023, Proceedings (pp. 609–624). https://doi.org/10.1007/978-3-031-33455-9_36
    Project: OBARIS (2020–2022)
  • Combining Machine Learning and Semantic Web: A Systematic Mapping Study / Breit, A., Waltersdorfer, L., Ekaputra, F. J., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., ten Teije, A., & van Harmelen, F. (2023). Combining Machine Learning and Semantic Web: A Systematic Mapping Study. ACM Computing Surveys. https://doi.org/10.1145/3586163
    Project: OBARIS (2020–2022)
  • Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis / Ekaputra, F. J., Ekelhart, A., Mayer, R., Miksa, T., Šarčević, T., Tsepelakis, S., & Waltersdorfer, L. (2022). Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis. Semantic Web: Interoperability, Usability, Applicability, 1–34. https://doi.org/10.3233/sw-212883
  • Towards a Standardized Description of Semantic Web Machine Learning Systems / Ekaputra, F. J., Waltersdorfer, L., Breit, A., & Sabou, M. (2022). Towards a Standardized Description of Semantic Web Machine Learning Systems. In U. Simsek, D. Chaves-Fraga, T. Pellegrini, & S. Vahdat (Eds.), Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems, co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022).
    Project: OBARIS (2020–2022)
  • A Lifecycle Framework for Semantic Web Machine Learning Systems / Breit, A., Waltersdorfer, L., Ekaputra, F. J., Miksa, T., & Sabou, M. (2022). A Lifecycle Framework for Semantic Web Machine Learning Systems. In Database and Expert Systems Applications - DEXA 2022 Workshops (pp. 359–368). https://doi.org/10.1007/978-3-031-14343-4_33
    Project: OBARIS (2020–2022)
  • Bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study / Waltersdorfer, L., Breit, A., Ekaputra, F. J., & Sabou, M. (2021). Bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study. In Communications in Computer and Information Science (pp. 81–90). https://doi.org/10.1007/978-3-030-87101-7_9
  • Towards Efficient Generation of a Multi-Domain Engineering Graph with Common Concepts / Rinker, F., Meixner, K., Waltersdorfer, L., Winkler, D., Lüder, A., & Biffl, S. (2021). Towards Efficient Generation of a Multi-Domain Engineering Graph with Common Concepts. In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ). 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden, Sweden. https://doi.org/10.1109/etfa45728.2021.9613657
  • WellFort: A Platform for Privacy-Preserving Data Analysis / Miksa, T., Sarcevic, T., Mayer, R., & Waltersdorfer, L. (2021). WellFort: A Platform for Privacy-Preserving Data Analysis. ERCIM News, 2021(126). http://hdl.handle.net/20.500.12708/138787
  • Continuous Integration in Multi-view Modeling: A Model Transformation Pipeline Architecture for Production Systems Engineering / Rinker, F., Waltersdorfer, L., Meixner, K., Winkler, D., Lüder, A., & Biffl, S. (2021). Continuous Integration in Multi-view Modeling: A Model Transformation Pipeline Architecture for Production Systems Engineering. In Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development. 9th International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2021) - Online Conference, Vienna, Austria, Austria. SCITEPRESS. https://doi.org/10.5220/0010309902860293
  • Traceable Multi-view Model Integration: A Transformation Pipeline for Agile Production Systems Engineering / Rinker, F. P., Waltersdorfer, L., Meixner, K., & Winkler, D. (2021). Traceable Multi-view Model Integration: A Transformation Pipeline for Agile Production Systems Engineering. SN Computer Science, 11(1).
    Project: CDL-SQI (2018–2024)
  • A Multi-Model Reviewing Approach for Production Systems Engineering Models / Rinker, F., Waltersdorfer, L., Schüller, M., Biffl, S., & Winkler, D. (2021). A Multi-Model Reviewing Approach for Production Systems Engineering Models. In Communications in Computer and Information Science (pp. 121–146). Springer. https://doi.org/10.1007/978-3-030-67445-8_6
  • Towards Test-Driven Model Development in Production Systems Engineering / Rinker, F., Waltersdorfer, L., & Biffl, S. (2020). Towards Test-Driven Model Development in Production Systems Engineering. In Proceedings of the 22nd International Conference on Enterprise Information Systems. Online Conference 22nd International Conference on Enterprise Information Systems (ICEIS 2020), Online, Non-EU. ScitePress. https://doi.org/10.5220/0009425302130219
  • Experiences with technical debt and management strategies in production systems engineering / Waltersdorfer, L., Rinker, F., Kathrein, L., & Biffl, S. (2020). Experiences with technical debt and management strategies in production systems engineering. In Proceedings of the 3rd International Conference on Technical Debt. International Conference on Technical Debt 2020 (TechDebt 2020), Seoul; Südkorea, Non-EU. ACM. https://doi.org/10.1145/3387906.3388627
  • Graph-based Model Inspection Tool for Multi-disciplinary Production Systems Engineering / Rinker, F., Waltersdorfer, L., Schüller, M., & Winkler, D. (2020). Graph-based Model Inspection Tool for Multi-disciplinary Production Systems Engineering. In Proceedings of the 8th International Conference on Model-Driven Engineering and Software Development. Modelswards 2020, Valetta, Malta, EU. ScitePress. https://doi.org/10.5220/0008990001160125
  • Engineering Data Logistics for Agile Automation Systems Engineering / Biffl, S., Lüder, A., Rinker, F., Waltersdorfer, L., & Winkler, D. (2019). Engineering Data Logistics for Agile Automation Systems Engineering. In Security and Quality in Cyber-Physical Systems Engineering. Springer International Publishing. http://hdl.handle.net/20.500.12708/30186
  • Experiences with technical debt in parallel multi-disciplinary production systems engineering / Waltersdorfer, L. (2019). Experiences with technical debt in parallel multi-disciplinary production systems engineering [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.63621
    Download: PDF (3.17 MB)
  • "Software Engineering Risks from Technical Debt in the Representation of Product/ion Knowledge " / Biffl, S., Kathrein, L., Lüder, A., Meixner, K., Sabou, R. M., Waltersdorfer, L., & Winkler, D. (2019). "Software Engineering Risks from Technical Debt in the Representation of Product/ion Knowledge ". In Proceedings SEKE 2019. 31st International Conference on Software Engineering & Knowledge Engineering (SEKE 2019), Lisbon, Portugal, EU. KSI Research Inc. and Knowledge Systems Institute Graduate School. http://hdl.handle.net/20.500.12708/58079
  • Quality Risks in the Data Exchange Process for Collaborative CPPS Engineering / Biffl, S., Lüder, A., Rinker, F., Waltersdorfer, L., & Winkler, D. (2019). Quality Risks in the Data Exchange Process for Collaborative CPPS Engineering. In Proceedings of INDIN 2019. 17th IEEE International Conference on Industrial Informatics (INDIN 2019), Helsinki, Finland, EU. IEEE. http://hdl.handle.net/20.500.12708/58077
  • Supporting the Data Model Integrator in an Engineering Network by Automating Data Integration / Lüder, A., Kirchheim, K., Pauly, J.-L., Biffl, S., Rinker, F., & Waltersdorfer, L. (2019). Supporting the Data Model Integrator in an Engineering Network by Automating Data Integration. In Proceedings of INDIN 2019. 17th IEEE International Conference on Industrial Informatics (INDIN 2019), Helsinki, Finland, EU. IEEE. http://hdl.handle.net/20.500.12708/58075
  • Technical Debt Analysis in Parallel Multi-Disciplinary Systems Engineering / Biffl, S., Ekaputra, F. J., Lüder, A., Pauly, J.-L., Rinker, F., Waltersdorfer, L., & Winkler, D. (2019). Technical Debt Analysis in Parallel Multi-Disciplinary Systems Engineering. In 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2019), Kallithea, Chalkidiki, Greece, EU. IEEE. https://doi.org/10.1109/seaa.2019.00059
  • Efficient Engineering Data Exchange in Multi-disciplinary Systems Engineering / Biffl, S., Lüder, A., Rinker, F., & Waltersdorfer, L. (2019). Efficient Engineering Data Exchange in Multi-disciplinary Systems Engineering. In Advanced Information Systems Engineering (pp. 17–31). Springer. https://doi.org/10.1007/978-3-030-21290-2_2
  • Towards Support of Global Views on Common Concepts employing Local Views / Rinker, F., Waltersdorfer, L., Meixner, K., & Biffl, S. (2019). Towards Support of Global Views on Common Concepts employing Local Views. In Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2019) (pp. 1686–1689). IEEE. http://hdl.handle.net/20.500.12708/58107