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Information Linking and Retrieval

Information linking develops models which allow for linking heterogenous types of information through semantic web technologies. Information retrieval develops models which improve digital information search.

Main research areas in the field of information linking and retrieval are:

  • User studies and logfile analyses to analyze the information behavior of social scientists
  • Linking different types of information as well as combining survey data with research data from other academic domains
  • Making information retrieval easier and more personal
  • Integrated access to information via linked information (“link retrieval”)
  • Developing domain specific recommender and ranking services
  • Novel logfile based metrics for evaluating interactive retrieval systems
Name Department Team Email Telephone
Baran, Erdal
Knowledge Technologies for the Social Sciences
Data & Services Engineering
+49 (0221) 47694-511
Bensmann, Felix
Knowledge Technologies for the Social Sciences
Information Extraction & Linking
+49 (0221) 47694-524
Breuer, Dr. Johannes
Survey Data Curation
Survey Data Augmentation
+49 (0221) 47694-471
Dimitrov, Dr. Dimitar
Knowledge Technologies for the Social Sciences
Information Extraction & Linking
+49 (0221) 47694-512
Hienert, Dr. Daniel
Knowledge Technologies for the Social Sciences
Information & Data Retrieval
+49 (0221) 47694-525
Kampmann, Jara (M. Sc.)
Data Services for the Social Sciences
Data Acquisitions and Access
+49 (0221) 47694-456
Kern, Dr. Dagmar
Knowledge Technologies for the Social Sciences
FAIR Data and Human Information Interaction
+49 (0221) 47694-536
Krämer, Thomas
Knowledge Technologies for the Social Sciences
Data & Services Engineering
+49 (0221) 47694-201
Kratz, Sophia
Survey Data Curation
National Studies
+49 (0221) 47694-413
Mayr, Dr. Philipp
Knowledge Technologies for the Social Sciences
Information & Data Retrieval
+49 (0221) 47694-533
Momeni, Fakhri
Knowledge Technologies for the Social Sciences
Information & Data Retrieval
+49 (0221) 47694-544
Mutschke, Peter (M.A.)
Knowledge Technologies for the Social Sciences
FAIR Data and Human Information Interaction
+49 (0221) 47694-500
Otto, Wolfgang
Knowledge Technologies for the Social Sciences
Information Extraction & Linking
+49 (0221) 47694-543
Soldner, Felix
Computational Social Science
Data Science Methods
+49 (0221) 47694-234
Tavakolpoursaleh, Narges
Knowledge Technologies for the Social Sciences
Data & Services Engineering
+49 (0221) 47694-140
Zagovora, Olga
Computational Social Science
Digital Society Observatory
+49 (0221) 47694-216
Zloch, Dr. (rer. nat.) Matthäus
Knowledge Technologies for the Social Sciences
Information Extraction & Linking
+49 (0221) 47694-534
  • Soldner, Felix, Fabian Plum, Bennett Kleinberg, and Shane Johnson. 2022. "From the dark to the surface web: Scouting eBay for counterfeits." ODISSEI Conference for Social Science in the Netherlands 2022, Open Data Infrastructure for Social Science and Economic Innovations, Utrecht, 03.11.2022.
  • Soldner, Felix, Bennett Kleinberg, and Shane Johnson. 2022. "Confounds and overestimations in fake review detection: Experimentally controlling for product-ownership and data-origin." PLoS ONE 17 (12): e0277869. doi: https://doi.org/10.1371/journal.pone.0277869.
  • Batzdorfer, Veronika. 2022. "Theory-driven modelling of complex socio-psychological constructs in text." Invited Panel Talk on the Workshop on Computational Linguistics for Political Text Analysis (CPSS-2022), Universität Potsdam, 12.09.2022.
  • Soldner, Felix, Fabian Plum, Bennett Kleinberg, and Shane Johnson. 2022. "From the dark to the surface web: Scouting eBay for counterfeits." Cambridge Cybercrime Centre: Fifth Annual Cybercrime Conference, 05.09.2022.
  • Soldner, Felix, Justin Chun-ting Ho, Mykola Makhortykh, Isabelle W.J. van der Vegt, Maximilian Mozes, and Bennett Kleinberg. 2019. "Sentiment patterns in videos from left- and right-wing YouTube news channels." Euro CSS 2019, 02.09.2019.