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Dr. Frank Löffler
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Researcher 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 |
Publications
2019
Automatic Facet Generation and Selection over Knowledge Graphs
Leila Feddoul, Sirko Schindler, and Frank Löffler
SEMANTiCS 2019
Karlsruhe, Germany 9.9.2019
Leila Feddoul, Sirko Schindler, and Frank Löffler
SEMANTiCS 2019
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
Leila Feddoul, Sirko Schindler, and Frank Löffler
16th Extended Semantic Web Conference (ESWC2019)
Portorož, Slovenia 2.6.2019
2018
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
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
Teaching
SS 2020
SS 2019
WS 2018/2019
SS 2018
WS 2017/2018
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.
Read More | |
| 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. Read More | |