Dr. Andreas Weiler
Dr. Andreas Weiler
ZHAW
School of Engineering
Forschungsschwerpunkt Intelligent Information Systems
Obere Kirchgasse 2 / Steinberggasse 12/14
8400 Winterthur
Arbeit an der ZHAW
Tätigkeit
- Dozent für Intelligente Informationssysteme
- Stellvertretender Gruppenleiter der Forschungsgruppe Intelligente Informationssystems
- Studienleiter in der Weiterbildung für den CAS Information Engineering
- Management Committee Member for Switzerland in the COST Action CA23147 Global Network on Large-Scale, Cross-domain and Multilingual Open Knowledge Graphs (GOBLIN)
Lehrtätigkeit
- BSc Modul Datenbanken
- BSc Modul Data Engineering 1
- BSc Modul Data Engineering 2
- BSc Modul Data Engineering für Applied Digital Life Sciences
Lehrtätigkeit in der Weiterbildung
Aus- und Weiterbildung
Ausbildung
- CAS Digital Learning / Education
Zürcher Hochschule für Angewandte Wissenschaften (ZHAW)
02 / 2023 - 11 / 2023 - Dr. rer. nat. / Computer Science
Universität Konstanz
04 / 2010 - 04 / 2016 - Master of Science / Computer Science
Universität Konstanz
02 / 2007 - 03 / 2010 - Bachelor of Science / Computer Science
Universität Konstanz
02 / 2003 - 03 / 2006
Netzwerk
Mitglied in Netzwerken
ORCID digital identifier
Projekte
- Smart UMH: Smart urban multihub concept: Sustainable and liveable cities with low logistics visibility / Teammitglied / laufend
- Digital Transformation at the Local Tier of Government in Europe: Dynamics and Effects from a Cross-Countries and Over-Time Comparative Perspective / Stellv. Projektleiter:in / abgeschlossen
- Transformation der Textilindustrie von Push- zu Pull-Produktion durch Digitalisierung / Teammitglied / abgeschlossen
- Scansor 2.0 – Monitoring von komplexen Systemlandschaften mit Künstlicher Intelligenz / Projektleiter:in / abgeschlossen
- Prädiktive Bevorratung von Micro-Hubs für die dezentrale Lebensmittelversorgung / Teammitglied / abgeschlossen
- Skillue – Digitaler Marktplatz für Fähigkeiten und Marktwerte / Stellv. Projektleiter:in / abgeschlossen
Publikationen
Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
Gerber, J., Saxer, J., Kreiner, B., & Weiler, A. (2025). Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector. Journal of Intelligent Information Systems, 64, 97–120. https://doi.org/10.1007/s10844-025-00954-4
Schriftliche Konferenzbeiträge, peer-reviewed
- Saxer, J., Aigner, I. M., Linzmeier, L., Weiler, A., & Stockinger, K. (2026). Query carefully : detecting the unanswerables in text-to-SQL tasks [Conference paper]. In P. Bruno, F. Calimeri, F. Cauteruccio, M. Dragoni, F. Stella, & G. Terracina (Eds.), Artificial intelligence for healthcare, and hybrid models for coupling deductive and inductive reasoning (pp. 497–509). Springer. https://doi.org/10.1007/978-3-032-16708-8_39
- Saxer, J., Gerber, J., Weiler, A., & Grossniklaus, M. (2026). Website segmentation beyond structure : a benchmark on functional and digital maturity classes (R. Campos, A. Jatowt, Y. Lan, M. Aliannejadi, C. Bauer, S. MacAvaney, A. Anand, Z. Ren, S. Verberne, N. Bai, & M. Mansoury, Eds.; Vol. 2, pp. 222–236) [Conference paper]. Springer. https://doi.org/10.1007/978-3-032-21300-6_14
- Gerber, J., Saxer, J., Rabishokr, K., Kreiner, B., & Weiler, A. (2025). WebClasSeg-25 : a dual-classified webpage segmentation dataset - integrating functional and maturity-based analysis [Conference paper]. 3792–3801. https://doi.org/10.1145/3726302.3730309
- Gerber, J., Kreiner, B., Saxer, J., & Weiler, A. (2024). Towards website x-ray for Europe’s municipalities : unveiling digital transformation with multimodal embeddings [Conference paper]. In P. D. Haghighi, M. Greguš, G. Kotsi, & I. Khalil (Eds.), Information Integration and Web Intelligence (pp. 125–139). Springer. https://doi.org/10.1007/978-3-031-78090-5_11
- Gerber, J., Kreiner, B., Saxer, J., & Weiler, A. (2024). Digilog : enhancing website embedding on local governments - a comparative analysis [Conference paper]. In A. Appice, H. Azzag, M.-S. Hacid, A. Hadjali, & Z. Ras (Eds.), Foundations of Intelligent Systems (pp. 126–135). Springer. https://doi.org/10.1007/978-3-031-62700-2_12
- Gerber, J., Saxer, J. S., Kreiner, B. B., & Weiler, A. (2024, May 14). DIGILOG : towards a monitoring platform for digital transformation of European communities. RCIS 2024 Workshops and Research Projects Track. https://doi.org/10.21256/zhaw-32479
- Appel, J., & Weiler, A. (2024). XCrowd : a realistic crowd simulation tool for efficient movement management [Conference paper]. In T. Palpanas & H. V. Jagadish (Eds.), EDBT/ICDT 2024 Workshops. CEUR Workshop Proceedings. https://doi.org/10.21256/zhaw-30720
- Smith, E., Weiler, A., & Braschler, M. (2021). Skill extraction for domain-specific text retrieval in a job-matching platform [Conference paper]. In K. S. Candan, B. Ionescu, L. Goeuriot, B. Larsen, H. Müller, A. Joly, M. Maistro, F. Piroi, G. Faggioli, & N. Ferro (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction (pp. 116–128). Springer. https://doi.org/10.1007/978-3-030-85251-1_10
- Affolter, R., & Weiler, A. (2020). FacetX : dynamic facet generation for advanced information filtering of search results. Proceedings of the SEA Data 2020 : Search, Exploration, and Analysis in Heterogeneous Datastores Workshop of the EDBT/ICDT 2020 Joint Conference.
- Westermann, A., Krayer, P., & Weiler, A. (2020). AdsISee : advertisement detection and tracking for sponsorship evaluation in soccer matches. Proceedings of the DARLI-AP 2020 : Data Analytics Solutions for Real-Life Applications Workshop of the EDBT/ICDT 2020 Joint Conference.
- Roost, D., Meier, R., Huschauer, S., Nygren, E., Egli, A., Weiler, A., & Stadelmann, T. (2020, June 26). Improving sample efficiency and multi-agent communication in RL-based train rescheduling. Proceedings of the 7th SDS. https://doi.org/10.21256/zhaw-19978
- Smith, E., Braschler, M., Weiler, A., & Haberthuer, T. (2019). Syntax-based skill extractor for job advertisements [Conference paper]. 2019 6th Swiss Conference on Data Science (SDS), 80–81. https://doi.org/10.1109/SDS.2019.000-3
- Weiler, A., Schilling, H., Kircher, L., & Grossniklaus, M. (2019). Towards reproducible research of event detection techniques for Twitter [Conference paper]. 2019 6th Swiss Conference on Data Science (SDS), 69–74. https://doi.org/10.1109/SDS.2019.000-5
Forschungsdaten
Gerber, Jonathan; Saxer, Jasmin; Baptista Kreiner, Bruno; Rabishokr, Kimia; Weiler, Andreas, 2026. WebClasSeg25. Zenodo. Verfügbar unter: https://doi.org/10.5281/zenodo.14881792