Felicitas Löffler

Felicitas Löffler
Friedrich Schiller University Jena | FSU · Department of Computer Science

Diplom

About

19
Publications
1,584
Reads
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62
Citations
Citations since 2017
15 Research Items
60 Citations
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Additional affiliations
September 2006 - August 2013
Salt Solutions GmbH
Position
  • Software Engineer
Education
October 2000 - September 2006
Technische Universität Dresden
Field of study
  • Media Computer Science (Medieninformatik)

Publications

Publications (19)
Article
Full-text available
Biodiversity is the assortment of life on earth covering evolutionary, ecological, biological, and social forms. To preserve life in all its variety and richness, it is imperative to monitor the current state of biodiversity and its change over time and to understand the forces driving it. This need has resulted in numerous works being published in...
Poster
http://ceur-ws.org/Vol-2969/paper4-s4biodiv.pdf | Dataset search is receiving increasing attention in a scholar’s daily research practice. In biodiversity research, dataset retrieval in particular is a challenging and time-consuming task as most search services in current data portals only offer a simple keyword-based search. In this work we intro...
Article
Full-text available
Searching for scientific datasets is a prominent task in scholars' daily research practice. A variety of data publishers, archives and data portals offer search applications that allow the discovery of datasets. The evaluation of such dataset retrieval systems requires proper test collections, including questions that reflect real world information...
Article
The increasing amount of publicly available research data provides the opportunity to link and integrate data in order to create and prove novel hypotheses, to repeat experiments or to compare recent data to data collected at a different time or place. However, recent studies have shown that retrieving relevant data for data reuse is a time-consumi...
Conference Paper
Personalized applications are a two-edged sword. They are convenient and assist users by keeping the focus on relevant topics, but they are often black boxes and users typically do not know why certain entries appear in their profile. As transparency and provenance are essential for researchers, in this paper, we introduceScholarLensViz, a visualiz...
Conference Paper
Dataset Retrieval is gaining importance due to a large amount of research data and the great demand for reusing scientific data.Dataset Retrieval is mostly based on metadata, structured information about the primary data. Enriching these metadata with semanticannotations based on Linked Open Data (LOD) enables datasets, publications and authors to...
Preprint
Full-text available
The increasing amount of research data provides the opportunity to link and integrate data to create novel hypotheses, to repeat experiments or to compare recent data to data collected at a different time or place. However, recent studies have shown that retrieving relevant data for data reuse is a time-consuming task in daily research practice. In...
Article
Full-text available
The increasing amount of publicly available research data provides the opportunity to link and integrate data in order to create and prove novel hypotheses, to repeat experiments or to compare recent data to data collected at a different time or place. However, recent studies have shown that retrieving relevant data for data reuse is a time-consumi...
Article
Full-text available
Semantic annotations of datasets are very useful to support quality assurance, discovery, interpretability, linking and integration of datasets. However, providing such annotations manually is often a time-consuming task . If the process is to be at least partially automated and still provide good semantic annotations, precise information extractio...
Conference Paper
Data discovery is a frequent task in a scholar's daily work. In biodiversity, data search is a particular challenge. Here, scholars have complex information needs such as the rich interplay of organisms and their environments that cannot be unambiguously expressed with a traditional keyword search, e.g., Does tree diversity reduce competition in a...
Conference Paper
Full-text available
Research questions in biodiversity are as diverse and heterogeneous as data are. Most metadata standards are mainly data-focused and pay little attention to the search perspective. In this work, we introduce a method to analyze the actual information need of biodiversity scholars based on two individual studies: (1) a series of workshops with domai...
Article
Motivation Scientists increasingly rely on intelligent information systems to help them in their daily tasks, in particular for managing research objects, like publications or datasets. The relatively young research field of Semantic Publishing has been addressing the question how scientific applications can be improved through semantically rich re...
Conference Paper
Full-text available
While literature portals in the biomedical domain already enhance their search applications with ontological concepts, data portals offering biological primary data still use a classical keyword search. Similar to publications, biological primary data are described along meta information such as author, title, location and time which is stored in a...
Conference Paper
While term expansion techniques are well investigated for many domains, semantic enrichment of keyword queries for the retrieval of scientific datasets is still paid little attention to. In particular, a systematic analysis of which kind of semantically related concepts lead to the most relevant results is missing. Based on query expansion techniqu...
Conference Paper
Semantic publishing generally targets the enhancement of scientific artifacts, such as articles and datasets, with semantic metadata. However, smarter scholarly applications also require a better model of their users, in order to understand their interests, tasks, and competences. These are generally captured in so-called user profiles. We investig...
Article
We outline a blueprint for the development of new computer science approaches for the management and analysis of big data problems for biodiversity science. Such problems are characterized by a combination of different data sources each of which owns at least one of the typical characteristics of big data (volume, variety velocity, or veracity). Fo...
Article
Conventional content-based filtering methods recommend documents based on extracted keywords. They calculate the similarity between keywords and user interests and return a list of matching documents. In the long run, this approach often leads to overspecialization and fewer new entries with respect to a user's preferences. Here, we propose a seman...

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Projects

Project (1)
Project
long-term preservation of research data, search and visualization of research data, support scholars in all steps along the data life cycle https://www.gfbio.org