FUnctionality Sharing In Open eNvironments
Heinz Nixdorf Chair for Distributed Information Systems

Dr. Frank Löffler


Ernst-Abbe-Platz 2 , 07743 Jena , Room: EAP2: 3239

office: +49(0)3641-946435, mobile: +49(0)1762 576 1037

Join date: 2017-11-20




Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles
Sheeba Samuel, Frank Löffler and Birgitta König-Ries
Provenance Week 2020
Charlotte, North Carolina, USA 22.6.2020
A virtual “Werkstatt” for digitization in the sciences
Sheeba Samuel, Maha Shadaydeh, Sebastian Böcker, Bernd Brügmann, Solveig Franziska Bucher, Volker Deckert, Joachim Denzler, Peter Dittrich, Ferdinand von Eggeling, Daniel Güllmar, Orlando Guntinas-Lichius, Birgitta König-Ries, Frank Löffler, Lutz Maicher, Manja Marz, Mirco Migliavacca, Jürgen R. Reichenbach, Markus Reichstein, Christine Römermann, Andrea Wittig
Research Ideas and Outcomes


Automatic Facet Generation and Selection over Knowledge Graphs
Leila Feddoul, Sirko Schindler, and Frank Löffler
Karlsruhe, Germany 9.9.2019
Semantic Relatedness as an Inter-Facet Metric for Facet Selection over Knowledge Graphs
Leila Feddoul, Sirko Schindler, and Frank Löffler
16th Extended Semantic Web Conference (ESWC2019)
Portorož, Slovenia 2.6.2019


Convective excitation of inertial modes in binary neutron star mergers
Roberto De Pietri, Alessandra Feo, José A. Font, Frank Löffler, Francesco Maione, Michele Pasquali, Nikolaos Stergioulas
arXiv: gr/gc, accepted at Phys. Rev. Lett. 9.2.2018



de-RSE: Forking an RSE success story
Supercomputing 2020
(online) 12.11.2020


Current Projects

Semantic Description and (semi-) Automatic Annotation of Citizen Science Data
It is a collaborative project between The Heinz-Nixdorf Endowed Chair for Distributed Information Systems at the Friedrich-Schiller-University (FSU) Jena and German Aerospace Center (DLR). The project focuses on interoperability of the citizen science data. Semantic web technologies can be used to realize a model for citizen science measurement and observation data by covering not only the content related aspects, but also including information on the quality, trustworthiness and provenance of the data.

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Wissensmodellierung und semantische Vernetzung heterogener Daten und Anwendungen
Im Projekt werden die Annotation von Datensätzen und Verfahren zur Domänen-übergreifenden Vernetzung (“Linked Data”), Wissensmodellierung und Entscheidungsfindung in semantischen Konzepten der Sensorik, der Geophysik und des Erdsystems unter Nutzung von Ontologien und offenen Standards erarbeitet.
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A virtual “Werkstatt” for digitization in the sciences
Data is central in almost all scientific disciplines nowadays. Furthermore, intelligent systems have developed rapidly in recent years, so that in many disciplines the expectation is emerging that with the help of intelligent systems, significant challenges can be overcome and science can be done in completely new ways. In order for this to succeed, however, first, fundamental research in computer science is still required, and, second, generic tools must be developed on which specialized solutions can be built. A virtual manufactory for digitization in the sciences, the “Werkstatt”, which is being established at the Michael Stifel Center Jena (MSCJ) for data-driven and simulation science is a collaborative project funded by the Carl Zeiss Foundation to address fundamental questions in computer science and applications. The Werkstatt focuses on three key areas, which include generic tools for machine learning, knowledge generation using machine learning processes, and semantic methods for the data life cycle, as well as the application of these topics in different disciplines. Core and pilot projects address the key aspects of the topics and form the basis for sustainable work in the Werkstatt.
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