Institute of
IT Security Research

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Dipl.-Ing. Dr. Sebastian Neumaier BSc

  • Researcher Institute of IT Security Research
  • Department of Computer Science and Security
Location: B - Campus-Platz 1

Study programmes

  • Data Science and Business Analytics (BA)
  • Data Intelligence (MA)

Departments

  • Computer Science and Security

Publications

Download Bibtex for all results
Dam, T., Klausner, L. D., Neumaier, S., & Priebe, T. (2023, September). A Survey of Dataspace Connector Implementations. Proceedings of the 2nd Italian Conference on Big Data and Data Science (ITADATA 2023).
Dam, T., Krimbacher, A., & Neumaier, S. (2023, September). Policy Patterns for Usage Control in Data Spaces. Fifth International Workshop On A Semantic Data Space For Transport @ SEMANTiCS 2023. SEMANTiCS 2023.
Neumaier, S. (2023, May). Workshop on Usage Control Policies in Dataspaces. 5th International Data Science Conference (iDSC), Krems, Austria. https://sebneumaier.files.wordpress.com/2023/05/ws_dataspaces.pdf
Neumaier, S. (2023, February). CC BY STRICT – A policy language to document and report data usage. Shonan Seminar 172, Shonan, Japan. https://shonan.nii.ac.jp/seminars/172/
Dam, T., Klausner, L. D., & Neumaier, S. (2023). Towards a Critical Open-Source Software Database. Companion Proceedings of the ACM Web Conference 2023, 156–159. https://doi.org/10.1145/3543873.3587336
Dam, Tobias, & Neumaier, Sebastian. (2023). Towards Measuring Vulnerabilities and Exposures in Open-Source Packages. Proceedings of the 5th International Data Science Conference – IDSC2023.
Priebe, T., Neumaier, S., & Markus, S. (2022). Von Data Warehouse bis Data Mesh: Ein Wegweiser durch den Dschungel analytischer Datenarchitekturen. BI-SPEKTRUM, 4/2022. https://www.sigs-datacom.de/digital/bi-spektrum/
Dimou, A., Neumaier, S., Pellegrini, T., & Vahdati, S. (Eds.). (2022). Towards a knowledge-aware ai. IOS Press. https://ebooks.iospress.nl/volume/towards-a-knowledge-aware-ai-semantics-2022-proceedings-of-the-18th-international-conference-on-semantic-systems-1315-september-2022-vienna-austria
Hogan, A., Cochez, M., Melo, G. de, & Neumaier, S. (2022). Knowledge graphs. Morgan & Claypool Publishers.
Neumaier, S., Kaiser, A., Baumgartner, L.-M., & Grill, A. (2022). An advanced knowledge-based analysis of company vision statements. Proceedings of the 55th Hawaii International Conference on System Sciences (HICCS), 5516–5525.
Havur, G., Neumaier, S., & Pellegrini, T. (2021). DALICC As A Service - A Scaleable Architecture for License Clearance. In I. Tiddi, M. Maleshkova, T. Pellegrini, & V. de Boer (Eds.), Joint Proceedings of the Semantics co-located events: Poster&Demo track and Workshop on Ontology-Driven Conceptual Modelling of Digital Twins (Vol. 2941). CEUR. http://ceur-ws.org/Vol-2941/#paper12
Hogan, A., Blomqvist, E., Cochez, M., d"Amato, C., de Melo, G., Gutierrez, C., Gayo, J. E. L., Kirrane, S., Neumaier, S., Polleres, A., Navigli, R., Ngomo, A.-C. N., Rashid, S. M., Rula, A., Schmelzeisen, L., Sequeda, J., Staab, S., & Zimmermann, A. (2021). Knowledge Graphs. ACM Computing Surveys, 54(4), 1–37. https://doi.org/10.1145/3447772
Neumaier, S., Havur, G., & Pellegrini, T. (2021). Towards an Architecture for Policy-Aware Decentral Dataset Exchange. SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing. SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing, Barcelona. https://www.thinkmind.org/index.php?view=article&articleid=semapro_2021_1_40_30020
Priebe, T., Neumaier, S., & Markus, S. (2021). Finding Your Way Through the Jungle of Big Data Architectures. 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA. https://doi.org/10/gn7mtm
Portisch, J., Fallatah, O., Neumaier, S., Jaradeh, M. Y., & Polleres, A. (2020). Challenges of Linking Organizational Information in Open Government Data to Knowledge Graphs. In C. M. Keet & M. Dumontier (Eds.), Knowledge Engineering and Knowledge Management (pp. 271–286). Springer International Publishing. https://doi.org/10/gh38b7
Told, J., & Neumaier, S. (2020). Willensbildung der Kapitalgesellschafter in absentia. Wirtschaftsrechtliche Blätter, 34(7), 361–375. https://doi.org/10/gh38b6
Weber, T., Mitöhner, J., Neumaier, S., & Polleres, A. (2020). ODArchive – Creating an Archive for Structured Data from Open Data Portals. In J. Z. Pan, V. Tamma, C. d"Amato, K. Janowicz, B. Fu, A. Polleres, O. Seneviratne, & L. Kagal (Eds.), The Semantic Web – ISWC 2020 (pp. 311–327). Springer International Publishing. https://doi.org/10/gh38b8
Neumaier, S., & Polleres, A. (2019). Enabling Spatio-Temporal Search in Open Data. Journal of Web Semantics, 55(Elsevier), 21–36. https://doi.org/10/ggwb56
Thurnay, L., Lampoltshammer, T. J., Neumaier, S., & Knap, T. (2019). ADEQUATe: A Community-Driven Approach to Improve Open Data Quality. In W. Abramowicz & A. Paschke (Eds.), Business Information Systems Workshops (pp. 555–565). Springer International Publishing. https://doi.org/10/gnt2vx
Neumaier, S. (2019). Semantic enrichment of open data on the Web - or: how to build an open data knowledge graph [Thesis, Wien]. https://repositum.tuwien.at/handle/20.500.12708/3239
Neumaier, S., Thurnay, L., Lampoltshammer, T. J., & Knap, T. (2018). Search, Filter, Fork, and Link Open Data: The ADEQUATe platform: data- and community-driven quality improvements. Companion Proceedings of the The Web Conference 2018, 1523–1526. https://doi.org/10/gjbbgk
Kubler, S., Robert, J., Neumaier, S., Umbrich, J., & Le Traon, Y. (2018). Comparison of metadata quality in open data portals using the Analytic Hierarchy Process. Government Information Quarterly, 35(1), 13–29. https://doi.org/10/gdbpvg
Neumaier, S., Savenkov, V., & Polleres, A. (2018). Geo-Semantic Labelling of Open Data. Procedia Computer Science, 137, 9–20. https://doi.org/10/gh374p
Heil, E., & Neumaier, S. (2018). reboting.com: Towards Geo-search and Visualization of Austrian Open Data. In A. Gangemi, A. L. Gentile, A. G. Nuzzolese, S. Rudolph, M. Maleshkova, H. Paulheim, J. Z. Pan, & M. Alam (Eds.), The Semantic Web: ESWC 2018 Satellite Events (pp. 105–110). Springer International Publishing. https://doi.org/10/gnd9kc
Neumaier, S., Umbrich, J., & Polleres, A. (2017). Lifting Data Portals to the Web of Data. WWW "17 Workshop on Linked Data on the Web (LDOW2017), 10. http://ceur-ws.org/Vol-1809/article-03.pdf
Neumaier, S., Savenkov, V., & Vakulenko, S. (2017). Talking Open Data. In E. Blomqvist, K. Hose, H. Paulheim, A. Ławrynowicz, F. Ciravegna, & O. Hartig (Eds.), The Semantic Web: ESWC 2017 Satellite Events (pp. 132–136). Springer International Publishing. https://doi.org/10/gnt2vz
Neumaier, S., Polleres, A., Steyskal, S., & Umbrich, J. (2017). Data Integration for Open Data on the Web. In G. Ianni, D. Lembo, L. Bertossi, W. Faber, B. Glimm, G. Gottlob, & S. Staab (Eds.), Reasoning Web. Semantic Interoperability on the Web: 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures (pp. 1–28). Springer International Publishing. https://doi.org/10.1007/978-3-319-61033-7_1
Neumaier, S., Umbrich, J., & Polleres, A. (2016). Automated Quality Assessment of Metadata across Open Data Portals. ACM Journal of Data and Information Quality (JDIQ), Journal of Data and Information QualityVolume 8Issue 1(Journal of Data and Information QualityVolume 8Issue 1), pp 1-29. https://doi.org/https://doi.org/10.1145/2964909
Neumaier, S., Umbrich, J., Parreira, J. X., & Polleres, A. (2016). Multi-level Semantic Labelling of Numerical Values. The Semantic Web – ISWC 2016, 428–445. https://link.springer.com/chapter/10.1007/978-3-319-46523-4_26
Kubler, S., Robert, J., Le Traon, Y., Umbrich, J., & Neumaier, S. (2016). Open Data Portal Quality Comparison using AHP. Proceedings of the 17th International Digital Government Research Conference on Digital Government Research, 397–407. https://doi.org/10/gh3786
Umbrich, J., Neumaier, S., & Polleres, A. (2015). Towards assessing the quality evolution of Open Data portals. In ODQ2015: Open Data Quality: from Theory to Practice Workshop, 5. https://aic.ai.wu.ac.at/~polleres/publications/umbr-etal-2015ODQ.pdf
Neumaier, S. (2015). Open data quality; assessment and evolution of (meta-)data quality in the open data landscape [Thesis, Vienna University of Technology]. https://repositum.tuwien.at/handle/20.500.12708/4096