Dipl.-Ing. Dr. Sebastian Neumaier BSc

  • Researcher Institut für IT Sicherheitsforschung
  • Department Informatik und Security
Arbeitsplatz: B - Campus-Platz 1


  • Informatik und Security


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. (2020). Knowledge Graphs. ArXiv:2003.02320 [Cs]. http://arxiv.org/abs/2003.02320
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
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
Told, J., & Neumaier, S. (2020). Willensbildung der Kapitalgesellschafter in absentia. Wirtschaftsrechtliche Blätter, 34(7), 361–375. https://doi.org/10/gh38b6
Neumaier, S., & Polleres, A. (2019). Enabling Spatio-Temporal Search in Open Data. Journal of Web Semantics, 55, 21–36. https://doi.org/10/ggwb56
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
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/10.1007/978-3-030-04849-5_48
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/10.1145/3184558.3191602
Neumaier, S., Savenkov, V., & Polleres, A. (2018). Geo-Semantic Labelling of Open Data. Procedia Computer Science, 137, 9–20. https://doi.org/10.1016/j.procs.2018.09.002
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/10.1007/978-3-319-98192-5_20
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
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/10.1007/978-3-319-70407-4_25
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. Journal of Data and Information Quality, 8(1), 2:1–2:29. https://doi.org/10/gh3789
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
Neumaier, S., Umbrich, J., Parreira, J. X., & Polleres, A. (2016). Multi-level Semantic Labelling of Numerical Values. In P. Groth, E. Simperl, A. Gray, M. Sabou, M. Krötzsch, F. Lecue, F. Flöck, & Y. Gil (Eds.), The Semantic Web – ISWC 2016 (pp. 428–445). Springer International Publishing. https://doi.org/10/gh3787
Neumaier, S. (2015). Open data quality; assessment and evolution of (meta-)data quality in the open data landscape [Thesis, Wien]. https://repositum.tuwien.at/handle/20.500.12708/4096
Neumaier, S., Umbrich, J., & Polleres, A. (n.d.). Lifting Data Portals to the Web of Data. 10.
Umbrich, J., Neumaier, S., & Polleres, A. (n.d.). Towards assessing the quality evolution of Open Data portals. 5.
Neumaier, S. (n.d.). Improving Open Data Usability through Semantics. 8.