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

Dipl.-Medieninf. Felicitas Löffler

Researcher/ Ph.D. Candidate

Leutragraben 1, Jentower , 07743 Jena , Room: 17N05



Curriculum Vitae

I received my Diploma in Media Computer Science at the TU Dresden in 2006. In parallel to my study I was doing a three year lasting journalistic training at the ifp – Institut zur Förderung publizitischen Nachwuchses from 2002 – 2004. Until 2009 I worked as a software engineer and consultant at the SALT Solutions GmbH in Dresden.



Research Area

The main focus of my research is on topics including

  • information filtering
  • semantic search
  • transparent personalization
  • user modeling
  • usability of adaptive systems
  • portal technologies

DAAD RISE supervisor

  • May – July 2015: supervisor of Javkhlan-Ochir Ganbat, Ohio State University, USA, project: Automatic semantic annotation of research data (https://www.daad.de/rise/en/)



Tag Me If You Can! Semantic Annotation of Biodiversity Metadata with the QEMP Corpus and the BiodivTagger
Felicitas Löffler, Nora Abdelmageed, Samira Bablou, Pawandeep Kaur, Birgitta König-Ries
Language Resource and Evaluation Conference (LREC) 2020
Marseille, France 11.5.2020


What do Biodiversity Scholars Search for? Identifying High-Level Entities for Biological Metadata
Felicitas Löffler, Claas-Thido Pfaff, Naouel Karam, David Fichtmüller, Friederike Klan
Proceedings of the 2nd International Workshop on Semantics for Biodiversity co-located with 16th International Semantic Web Conference (ISWC 2017)
Vienna, Austria 22.10.2017
ScholarLens: extracting competences from research publications for the automatic generation of semantic user profiles
Bahar Sateli, Felicitas Löffler, Birgitta König-Ries, René Witte
Honey bee versus Apis mellifera: A Semantic Search for Biological Data
Felicitas Löffler, Kobkaew Opasjumruskit, Naouel Karam, David Fichtmüller, Friederike Klan, Claudia Müller-Birn, Uwe Schindler and Michael Diepenbroek
Extended Semantic Web Conference (ESWC2017)
Portoroz, Slovenia 31.5.2017


Does Term Expansion Matter for the Retrieval of Biodiversity Data?
Felicitas Löffler, Friederike Klan
Leipzig 12.9.2016
Semantic User Profiles: Learning Scholars’ Competences by Analyzing their Publications
Bahar Sateli, Felicitas Löffler, Birgitta König-Ries and René Witte
Semantics, Analytics, Visualisation: Enhancing Scholarly Data Workshop co-located with the 25th International World Wide Web Conference
Montreal, Canada 11.4.2016


Closing the Gaps in Biodiversity Data Management: What Biodiversity Researchers Seek and Computer Science Can Offer
Friederike Klan, Felicitas Löffler, Jitendra Gaikwad, Roman Gerlach, Alsayed Algergawy, Pawandeep Khaur, Dorothee Wieczorek
45th Annual Meeting of the Ecological Society of Germany, Austria and Switzerland (GFÖ 2015))
Göttingen 31.8.2015


Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data: A Computer Science Perspective on Biodiversity Research
C. Beckstein and S. Böcker and M. Bogdan and H. Bruelheide, H. M. Bücker and J. Denzler and P. Dittrich and I. Grosse and A. Hinneburg and B. König-Ries and F. Löffler and M. Marz and M. Müller-Hannemann and M. Winter and W. Zimmermann
Towards Semantic Recommendation of Biodiversity Datasets based on Linked Open Data
Löffler, F., B. Sateli, R. Witte, and B. König-Ries
The 26th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken)
Bozen, Italy 1.10.2014


Semantic Content Processing in Web Portals
Felicitas Löffler and Bahar Sateli and Birgitta König-Ries and René Witte
4th Canadian Semantic Web Symposium (CSWS 2013), vol. 1054: CEUR-WS.org, pp. 50–51
Montréal, QC, Canada 1.7.2013


Supervised Theses


Regelbasierte Metadatenerstellung für biologische Daten
Phil König - Master Thesis
Friedrich-Schiller-Universität Jena





Semantische Benutzermodellierung von Wissenschaftlern für die Suche nach wissenschaftlichen Daten
Samira Madarshahian - Bachelor
Friedrich-Schiller-Universität Jena


Current Projects

GFBio (https://www.gfbio.org) is a national infrastructure and contact point for issues concerning research data management and standardization of biological and environmental data. The project was established in 2013 with the main goal is to support scholars in all steps of the data life cycle, from acquisition to archiving and data publication. Five years later, GFBio provides a data portal with access to more than 5 Mio biodiversity metadata files. The majority of this data is linked with primary research data which can be further analyzed in an interactive visualization tool. Furthermore, GFBio is the national contact point for submitting biological data and mediates data archiving in dedicated data centers to ensure sustainable, long-term preservation and publication of research data. In addition, it organizes and supports education and training of scholars on all facets of research data management.
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Completed Projects

Adaptive Semantic Assistants in Online Applications
The rapid growth rate of available textual documents underlines a prominent need for novel approaches to overcome the information overload that knowledge workers are faced with. In such situations, new information filtering and analysis techniques are required to provide end users with information related to their context and task at hand. In cooperation with the Semantic Software Lab at Concordia University in Montréal, Canada (http://www.semanticsoftware.info), we have been developing a new generation of portals that automatically adapt to their users context using novel techniques from the Natural Language Processing (NLP) and Semantic Computing domains. The vision is to extend an…
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The CoSRe project of the Friedrich-Schiller-University of Jena investigates how computers can support the entire scientific life cycle. Today in each science computers are needed, not only for the storage of experimental data, but also for generating simulation data and futhermore for the analysis of different kinds of data. Over the internet scientists can work together and can share their results. This collaboration leads to new knowledge and new challenges. To deal with this "flood of information" the complete scientific cycle has to be supported by computers. For more information about CoSRe - please visit the project website http://cosre.c3e.de/
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Semantic User Modeling for the Recommendation of Scientific Data
Collaboration with the  Semantic Software Lab, Concordia University, Montréal, Canada Researchers in the medical and life sciences are faced with an increasing abundance of data in scientific repositories. Thus, handling and filtering of data becomes a more and more time-consuming and challenging task. Semantic recommender systems are a new rising research area using underlying knowledge bases, e.g., ontologies in the recommendation process. That allows to present relevant results that go beyond a user’s stored preferences and to include other semantic related terms that are not explicitly mentioned in the user profile. One obstacle for semantic recommendation is the poor description of personalization settings in state-of-the-art user model ontologies. Apart from storing general user interests it is not possible to specify further needs. We aim at the establishment of a formal semantic user model for scientific research objects and its integration and usage in semantic recommender systems.
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