TU Wien Informatics

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Reka Marta Sabou

Projektass.in(FWF) / MSc PhD

Reka Marta Sabou

Role

Contact

2022W

2023S

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.

2021

  • Explainable cyber-physical energy systems based on knowledge graph / Aryan, P. R., Ekaputra, F. J., Sabou, M., Hauer, D., Mosshammer, R., Einfalt, A., Miksa, T., & Rauber, A. (2021). Explainable cyber-physical energy systems based on knowledge graph. In Proceedings of the 9th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems. ACM Digital Library. https://doi.org/10.1145/3470481.3472704
  • 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
  • Using SPARQL to express Causality in Explainable Cyber-Physical Systems / Aryan, P. R., Deimel, M., Ekaputra, F. J., & Sabou, M. (2021). Using SPARQL to express Causality in Explainable Cyber-Physical Systems. In 2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA). ICAICTA 2021, Online, International. IEEE. https://doi.org/10.1109/icaicta53211.2021.9640268

2020

  • User consent modeling for ensuring transparency and compliance in smart cities / Fernández, J. D., Sabou, M., Kirrane, S., Kiesling, E., Ekaputra, F. J., Azzam, A., & Wenning, R. (2020). User consent modeling for ensuring transparency and compliance in smart cities. Personal and Ubiquitous Computing, 24(4), 465–486. https://doi.org/10.1007/s00779-019-01330-0
  • Empirical Software Engineering Experimentation with Human Computation / Sabou, M., Winkler, D., & Biffl, S. (2020). Empirical Software Engineering Experimentation with Human Computation. In M. Felderer & G. H. Travassos (Eds.), Contemporary Empirical Methods in Software Engineering (pp. 173–215). Springer International Publishing. https://doi.org/10.1007/978-3-030-32489-6_7
  • Verifying Extended Entity Relationship Diagrams with Open Tasks / Sabou, R. M., Käsznar, K., Zlabinger, M., Biffl, S., & Winkler, D. (2020). Verifying Extended Entity Relationship Diagrams with Open Tasks. In Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing, HCOMP (pp. 132–140). http://hdl.handle.net/20.500.12708/58411
  • Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports / Zlabinger, M., Sabou, M., Hofstätter, S., & Hanbury, A. (2020). Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports. In T. Cohn, Y. He, & Y. Liu (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2020. The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.findings-emnlp.274
  • DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts / Zlabinger, M., Sabou, M., Hofstätter, S., Sertkan, M., & Hanbury, A. (2020). DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. In J. Huang & Y. Chang (Eds.), Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, New York, NY, United States. https://doi.org/10.1145/3397271.3401334
  • Simulation Support for Explainable Cyber-Physical Energy Systems / Aryan, P. R., Ekaputra, F. J., Sabou, M., Hauer, D., Mosshammer, R., Einfalt, A., Miksa, T., & Rauber, A. (2020). Simulation Support for Explainable Cyber-Physical Energy Systems. In 2020 8th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems. IEEE. https://doi.org/10.1109/mscpes49613.2020.9133700

2019

  • "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
  • Using Model Scoping with Expected Model Elements to Support Software Model Inspections: Results of a Controlled Experiment / Neto, C., Neto, A., Kalinowski, M., Moraes de Oliveira, D., Sabou, M., Winkler, D., & Biffl, S. (2019). Using Model Scoping with Expected Model Elements to Support Software Model Inspections: Results of a Controlled Experiment. In Proceedings of the 21st International Conference on Enterprise Information Systems. 21st International Conference on Enterprise Information System, ICEIS 2019, Heraklion, Greece, EU. SciTePress. https://doi.org/10.5220/0007691001070118

2018

2017

2016

  • Semantic Modelling and Acquisition of Engineering Knowledge / Sabou, R. M., Kovalenko, O., & Novak, P. (2016). Semantic Modelling and Acquisition of Engineering Knowledge. In Semantic Web for Intelligent Engineering Applications. Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_5
  • Towards Cross-domain Decision Making in Tourism: A Linked Data based Approach / Sabou, R. M., Önder, I., & Brasoveanu, A. (2016). Towards Cross-domain Decision Making in Tourism: A Linked Data based Approach. Information Technology and Tourism, 16(1), 71–101. https://doi.org/10.1007/s40558-015-0049-5
  • Visualizing Statistical Linked Knowledge Sources for Decision Support / Brasoveanu, A., Sabou, R. M., Hubmann-Haidvogel, A., & Scharl, A. (2016). Visualizing Statistical Linked Knowledge Sources for Decision Support. Semantic Web: Interoperability, Usability, Applicability, 8, 18. http://hdl.handle.net/20.500.12708/149885
  • Conclusions and Outlook / Sabou, R. M., & Biffl, S. (2016). Conclusions and Outlook. In S. Biffl & R. M. Sabou (Eds.), Semantic Web for Intelligent Engineering Applications (pp. 383–400). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_15
  • Semantic Matching of Engineering Data Structures / Kovalenko, O., & Euzenat, J. (2016). Semantic Matching of Engineering Data Structures. In S. Biffl & R. M. Sabou (Eds.), Semantic Web for Intelligent Engineering Applications (pp. 137–157). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_6
  • Semantic Web Solutions in Engineering / Sabou, R. M., Kovalenko, O., Ekaputra, F. J., & Biffl, S. (2016). Semantic Web Solutions in Engineering. In S. Biffl & M. Sabou (Eds.), Semantic Web for Intelligent Engineering Applications (pp. 281–296). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_11
  • An Introduction to Semantic Web Technologies / Sabou, R. M. (2016). An Introduction to Semantic Web Technologies. In S. Biffl & R. M. Sabou (Eds.), Semantic Web for Intelligent Engineering Applications (pp. 53–81). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_3
  • Introduction / Biffl, S., & Sabou, R. M. (2016). Introduction. In S. Biffl & R. M. Sabou (Eds.), Semantic Web Technologies for Intelligent Engineering Applications (pp. 1–13). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_1
  • Multi-Disciplinary Engineering for Industrie 4.0: Semantic Challenges and Needs / Biffl, S., Lüder, A., & Winkler, D. (2016). Multi-Disciplinary Engineering for Industrie 4.0: Semantic Challenges and Needs. In S. Biffl & R. M. Sabou (Eds.), Semantic Web Technologies for Intelligent Engineering Applications (pp. 17–51). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4_2
  • Supporting the Engineering of Cyber-Physical Production Systems with the AutomationML Analyzer / Sabou, R. M., Ekaputra, F. J., & Kovalenko, O. (2016). Supporting the Engineering of Cyber-Physical Production Systems with the AutomationML Analyzer. In Proceedings of the CPPS Workshop. CPPS Workshop, Wien, Austria. IEEE. http://hdl.handle.net/20.500.12708/56869
  • Semantic Web Technologies for Intelligent Engineering Applications / Biffl, S., & Sabou, R. M. (Eds.). (2016). Semantic Web Technologies for Intelligent Engineering Applications. Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-41490-4
  • Leveraging Semantic Web Technologies for Consistency Management in Multi-viewpoint Systems Engineering / Steyskal, S., & Wimmer, M. (2016). Leveraging Semantic Web Technologies for Consistency Management in Multi-viewpoint Systems Engineering. In S. Biffl & R. M. Sabou (Eds.), Semantic Web Technologies for Intelligent Engineering Applications (pp. 327–352). Springer. https://doi.org/10.1007/978-3-319-41490-4_13

2015

  • Ontology Change in Ontology-Based Information Integration Systems / Ekaputra, F. J. (2015). Ontology Change in Ontology-Based Information Integration Systems. In F. Gandon, R. M. Sabou, H. Sack, C. d’Amato, P. Cudre-Mauroux, & A. Zimmermann (Eds.), The Semantic Web. Latest Advances and New Domains: 12th European Semantic Web Conference, ESWC 2015, Portoroz, Slovenia, May 31 -- June 4, 2015. Proceedings (pp. 711–720). Springer. https://doi.org/10.1007/978-3-319-18818-8_44
  • Sustainability Implications of Open Government Data / Sabou, R. M., & Koczanski, A. (2015). Sustainability Implications of Open Government Data. In Proceedings of the ACM Web Science Conference. ACM Web Science 2015, Oxford, UK, EU. ACM. https://doi.org/10.1145/2786451.2786463
  • Collaborative Exchange of Systematic Literature Review Results / Ekaputra, F. J., Sabou, M., Serral, E., & Biffl, S. (2015). Collaborative Exchange of Systematic Literature Review Results. In Proceedings of the 24th International Conference on World Wide Web. 24th International Conference on World Wide Web, WWW 2015, Florence, EU. ACM. https://doi.org/10.1145/2740908.2742027
  • Linked Data for Cross-Domain Decision-Making in Tourism / Sabou, M., Brașoveanu, A. M. P., & Önder, I. (2015). Linked Data for Cross-Domain Decision-Making in Tourism. In Information and Communication Technologies in Tourism 2015 (pp. 197–210). Springer International Publishing. https://doi.org/10.1007/978-3-319-14343-9_15
  • Knowledge Change Management and Analysis for Multi-Disciplinary Engineering Environments / Ekaputra, F. J., Sabou, R. M., Serral Asensio, E., & Biffl, S. (2015). Knowledge Change Management and Analysis for Multi-Disciplinary Engineering Environments. In CEUR Workshop Proceedings (pp. 13–17). CEUR. http://hdl.handle.net/20.500.12708/56312
  • Modeling AutomationML: Semantic Web technologies vs. Model-Driven Engineering / Kovalenko, O., Wimmer, M., Sabou, R. M., Lüder, A., Ekaputra, F. J., & Biffl, S. (2015). Modeling AutomationML: Semantic Web technologies vs. Model-Driven Engineering. In 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA). 20th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2015), Luxembourg, EU. IEEE. https://doi.org/10.1109/etfa.2015.7301643
  • Beiträge des Semantic Web zum Engineering für Industrie 4.0 / Sabou, R. M., Kovalenko, O., Ekaputra, F. J., & Biffl, S. (2015). Beiträge des Semantic Web zum Engineering für Industrie 4.0. In Handbuch Industrie 4.0. Springer. http://hdl.handle.net/20.500.12708/28901

2014

  • Corpus Annotation through Crowdsourcing:Towards Best Practice Guidelines / Sabou, R. M., Bontcheva, K., Derczynski, L., & Scharl, A. (2014). Corpus Annotation through Crowdsourcing:Towards Best Practice Guidelines. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14). Ninth International Conference on Language Resources and Evaluation (LREC’14), Reykjavik, Iceland, Non-EU. European Language Resources Association (ELRA). http://hdl.handle.net/20.500.12708/56067
  • The uComp Protege Plugin: Crowdsourcing Enabled Ontology Engineering / Hanika, F., Wohlgenannt, G., & Sabou, R. M. (2014). The uComp Protege Plugin: Crowdsourcing Enabled Ontology Engineering. In Knowledge Engineering and Knowledge Management (pp. 181–196). Springer. http://hdl.handle.net/20.500.12708/56066

2009

 

Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.