Simon Schiff

- Wissenschaftlicher Mitarbeiter -
Institut für Informationssysteme
Universität zu Lübeck
Ratzeburger Allee 160 ( Gebäude 64 - 2.OG )
D-23562 Lübeck
Telefon: +49 451 3101 5720
Fax : +49 451 3101 5704
email :E-Mail an Simon Schiff
Curriculum Vitae
- Seit 1. November 2019 - wissenschaftlicher Mitarbeiter am Institut für Informationssysteme der Universität zu Lübeck im Rahmen des Projektes EXC 2176 - Weiterleitungsvereinbarung UzL unter der Leitung von Prof. Dr. Ralf Möller.
Studentische Arbeiten
Bachelorarbeiten
Wissenschaftliche Tätigkeiten
Eingeladene Vorträge
- Fourth Stream Reasoning Workshop, Exploiting Back-End APIs for Feasible Ontology-Based Stream Access, Linköping
Publikationen
2023
- Sylvia Melzer, Stefan Thiemann, Simon Schiff, Ralf Möller: Implementation of a Federated Information System by means of Reuse of Research Data archived in Research Data Repositories
in: Data Science Journal, 2023, - Simon Schiff, Mena Leemhuis, Özgür Lütfü Özçep, Ralf Möller: Query Transformation for Processing Streams in Decision-making Agents
in: The International FLAIRS Conference Proceedings,
2022
- Sylvia Melzer, Simon Schiff, Franziska Weise, Kaja Harter, Ralf Möller: Databasing on demand for research data repositories explained with a large epidoc dataset
in: Book of Industry Papers, Poster Papers and Abstracts of the CENTERIS 2022 - Conference on ENTERprise Information Systems / ProjMAN 2022 - International Conference on Project MANagement / HCist 2022 - International Conference on Health and Social Care Info, 2022, Cruz-Cunha, M. M., Martinho, R., Rijo, R., Domongos, D., Peres, E. (Ed.), SciKA, Portugal, p.150-153 - Simon Schiff, Magnus Bender, Ralf Möller: Embodiment of an Agent by a Pepper Robot for Explaining Retrieval Results
in: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2022), , CEUR Workshop Proceedings, p.29-37 - Simon Schiff, Sylvia Melzer, Eva Wilden, Ralf Möller: TEI-based Interactive Critical Editions
in: 15th IAPR International Workshop on Document Analysis Systems, 2022, May, Springer, Lecture Notes in Computer Science (LNCS)
2021
- Magnus Bender, Tanya Braun, Marcel Gehrke, Felix Kuhr, Ralf Möller, Simon Schiff: Identifying and Translating Subjective Content Descriptions Among Texts
in: International Journal of Semantic Computing, 2021, Vol.15, (4), p.461-485 - Simon Schiff, Ralf Möller: On Human-Aware Information Seeking
in: Proceedings of the Workshop on Humanities-Centred Artificial Intelligence (CHAI 2021), , CEUR Workshop Proceedings, p.31-39 - Sylvia Melzer, Simon Schiff, Ralf Möller: Complementary Document Representations for Information Retrieval
in: 34th International FLAIRS Conference (FLAIRS-34), North Miami Beach, Florida, USA, May 17-19, 2021 - Magnus Bender, Tanya Braun, Marcel Gehrke, Felix Kuhr, Ralf Möller, Simon Schiff: Identifying Subjective Content Descriptions Among Texts
in: 15th IEEE International Conference on Semantic Computing, (ICSC 2021), Laguna Hills, CA, USA, January 27-29, 2021, IEEE, p.9-16
2020
- Simon Schiff, Felix Kuhr, Sylvia Melzer, Ralf Möller: AI-based Companion Services for Humanities
in: AI methods for digital heritage, Workshop at 43rd German Conference on Artificial Intelligence, 2020 - Simon Schiff, Özgür L. Özçep: Bounded-Memory Criteria for Streams with Application Time
in: Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference (FLAIRS 2020), , AAAI Press, North Miami Beach, Florida, USA, p.148-153
2019
- Marcel Gehrke, Simon Schiff, Tanya Braun, Ralf Möller: Which Patient to Treat Next? Probabilistic Stream-based Reasoning for Decision Support and Monitoring
in: Proceedings of the ICBK 2019, 2019, IEEE, p.73-80 - Simon Schiff, Möller, Özgür L. Özçep: Ontology-Based Data Access to Big Data
in: Open J. Databases, 2019, Vol.6, (1), p.21-32
2018
- Simon Schiff, Özgür L. Özçep, Ralf Möller: Ontology-based Data Access to Big Data
in: Open Journal of Databases (OJDB), 2018, Vol.6, p.21-32, Postproceeding of Hidest 18 - Simon Schiff, Marcel Gehrke, Ralf Möller: Efficient Enriching of Synthesized Relational Patient Data with Time Series Data
in: Procedia Computer Science, 2018, Vol.141, p.531 - 538, The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops