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Dipl.-Ing. Dr. Sebastian Neumaier BSc

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

Studiengänge

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

Departments

  • Informatik und Security

Publikationen

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.
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
Neumaier, S. (2021). Improving Open Data Usability through Semantics. SEMAPRO2021, 8. http://ceur-ws.org/Vol-1733/paper-09.pdf
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
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
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
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
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
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
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/gnt2vx
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
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
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., 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., 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., 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., 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/10/gh3789
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
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
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
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