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FUnctionality Sharing In Open eNvironments
Heinz Nixdorf Chair for Distributed Information Systems
 
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Dipl.-Medieninf. Felicitas Löffler

Researcher/ Ph.D. Candidate

Leutragraben 1, Jentower , 07743 Jena , Room: 21N01A

+49(0)3641-946413

0000-0001-6423-7427

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.
 

Scholarship

Additional Training

Professional Activities

Research Area

The main focus of my research is on topics including

  • dataset search
  • semantic search
  • information retrieval
  • semantic user modeling
  • transparent personalization
  • usability of adaptive systems

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/)

Publications

2021

[Dai:Si] - A Modular Dataset Retrieval Framework with a Semantic Search for Biological Data
Fateme Shafiei, Felicitas Löffler, Sven Thiel, Kobkaew Opasjumruskit, Denis Grabiger, Pauline Rauh and Birgitta König-Ries
3rd International Workshop on Semantics for Biodiversity (S4BioDiv), Proceedings of the Joint Ontology Workshops 2021 Episode VII: The Bolzano Summer of Knowledge co-located with the 12th International Conference on Formal Ontology in Information Systems (FOIS 2021), and the 12th International Conference on Biomedical Ontologies (ICBO 2021)
Bolzano, Italy 15.9.2021
A Test Collection for Dataset Retrieval in Biodiversity Research
Felicitas Löffler, Andreas Schuldt, Birgitta König-Ries, Helge Bruelheide, Friederike Klan
RIO - Research Ideas and Outcomes
26.5.2021
Dataset search in biodiversity research: Do metadata in data repositories reflect scholarly information needs?
Felicitas Löffler, Valentin Wesp, Birgitta König-Ries, Friederike Klan
PlosONE
24.3.2021

2020

ScholarLensViz: A Visualization Framework for Transparency in Semantic User Profiles
Felicitas Löffler, Valentin Wesp, Samira Babalou, Philipp Kahn, René Lachmann, Bahar Sateli, René Witte, Birgitta König-Ries
ISWC2020
Virtual Conference 6.11.2020
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

2017

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
PeerJ
3.7.2017
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

2016

Does Term Expansion Matter for the Retrieval of Biodiversity Data?
Felicitas Löffler, Friederike Klan
SEMANTiCS'16
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

2015

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

2014

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
SCITEPRESS
1.10.2014
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

2013

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

Talks

Supervised Theses

2021

Exploratory Semantic Dataset Search (taken)
Davood Hadiannejad - Master Thesis
Friedrich-Schiller-Universität Jena
1.5.2021

2020

Semantische Benutzermodellierung von Wissenschaftlern für die Suche nach wissenschaftlichen Daten
Samira Madarshahian - Bachelor
Friedrich-Schiller-Universität Jena
8.5.2020

2018

Regelbasierte Metadatenerstellung für biologische Daten
Phil König - Master Thesis
Friedrich-Schiller-Universität Jena
28.3.2018

2016

Konzeption und prototypische Entwicklung einer Workflow-Komponente zur Erstellung von Helpdesk-Informationen im GFBio-Portal
Philipp Kahn - Bachelor Thesis
Friedrich-Schiller-Universität Jena
31.3.2016

2015

Usability-Studie zur Identifikation von Problemen in der Benutzerinteraktion und Bedienbarkeit am Beispiel des Datenmanagementsystems BExIS2
Dorothée Wieczorek - Bachelor
FRIEDRICH-SCHILLER-UNIVERSITÄT JENA
9.2.2015

2012

Eine Recommendation Engine auf Basis unärer Bewertungen: Prototypische Umsetzung und Evaluierung mit Apache Mahout
André Wolf - Master Thesis
University of Jena
1.10.2012

Teaching

Current Projects

GFBio
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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Jena Data Center (JDC)
The Jena Data Center (JDC) at the Friedrich Schiller University Jena is a conglomerate of data repositories belonging to various small to mid-scale biodiversity and ecological projects, that are using BEXIS2 research data management tool. The aim of the data centre is to provide F.A.I.R principles-based data and ensure long-term preservation and availability along with its high-quality descriptive metadata, to facilitate open science and biodiversity conservation. As part of the long-term preservation objective, after the completion of the project tenure, the data centre will integrate the associated BEXIS2 based data repositories within the Jena data centre e-infrastructure so as to ensure the data is available…
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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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CoSRe
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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