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

Bahar Sateli

Research Assistant / PhD Candidate




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
Virtual Conference 6.11.2020


ScholarLens: extracting competences from research publications for the automatic generation of semantic user profiles
Bahar Sateli, Felicitas Löffler, Birgitta König-Ries, René Witte


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

Completed Projects

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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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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