Dipl.-Medieninf. Felicitas Löffler

Researcher/ Ph.D. Candidate

Leutragraben 1, Jentower

Room: 17N05

T: +49(0)3641-946413

E: felicitas.loeffler@uni-jena.de

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
  • content recommendation
  • 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/)



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


Management of Scientific Data 2015-04-13-2015-07-17

Softwareentwicklungsprojekt I und II (SWEP-I, SWEP-II) 2015-04-15-2015-07-17

Softwareentwicklungsprojekt I und II (SWEP-I, SWEP-II) 2014-04-14-2014-07-18

Current Projects

GFBio WP1 - Portal
GFBio (The German Federation for Biological Data, http://www.gfbio.org) supports environmental biology research with enhanced data services. It currently provides a portal search across several archives and collections with access to about 400.000 biodiversity metadata files. The majority of this data is linked with primary research data which in a first prototype for visualization can be displayed on interactive configurable maps. Our group is responsible for the portal set up, maintenance and the integration of tools and services developed by GFBio partners. The well established portal technology Liferay and state-of-the-art portlet standards such as JSR268 and Widgets/Gadgets support the vision to provide one single point of entry for different kinds of tools for data management and data analysis. Currently, we are working on archiving functions, user management enhancement, advanced search features and the integration of personalization and semantic web techniques.
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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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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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