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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

Learn more about our consulting and services:

Name Department Team Email Telephone
Baran, Erdal
Knowledge Technologies for the Social Sciences
Data and Services Engineering
+49 (0221) 47694-511
Bensmann, Felix
Knowledge Technologies for the Social Sciences
Information Extraction and Linking
+49 (0221) 47694-524
Breuer, Dr. Johannes
Survey Data Curation
Survey Data Augmentation
+49 (0221) 47694-471
Culbert, John
Knowledge Technologies for the Social Sciences
Information and Data Retrieval
+49 (0221) 47694-731
Dahou, Abdelhalim Hafedh
Knowledge Technologies for the Social Sciences
FAIR Data
+49 (0221) 47694-430
Dimitrov, Dr. Dimitar
Knowledge Technologies for the Social Sciences
Information Extraction and Linking
+49 (0221) 47694-512
Hienert, Dr. Daniel
Knowledge Technologies for the Social Sciences
Information and 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
Human Information Interaction
+49 (0221) 47694-536
Krämer, Thomas
Knowledge Technologies for the Social Sciences
Data and 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 and Data Retrieval
+49 (0221) 47694-533
Momeni, Fakhri
Knowledge Technologies for the Social Sciences
Human Information Interaction
+49 (0221) 47694-544
Mutschke, Peter (M.A.)
Knowledge Technologies for the Social Sciences
FAIR Data
+49 (0221) 47694-500
Otto, Wolfgang
Knowledge Technologies for the Social Sciences
Information Extraction and Linking
+49 (0221) 47694-543
Soldner, Felix
Computational Social Science
Digital Society Observatory
+49 (0221) 47694-234
Tavakolpoursaleh, Narges
Knowledge Technologies for the Social Sciences
Data and 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 and Linking
+49 (0221) 47694-534
  • Dahou, Abdelhalim Hafedh, and Mohamed Amine Cheragui. 2023 (Forthcoming). "DzNER: A large Algerian Named Entity Recognition dataset." Natural Language Processing Journal (3): 100005. doi: https://doi.org/10.1016/j.nlp.2023.100005.
  • Dahou, Abdelhalim Hafedh. 2021. "A3C: Arabic Anaphora Annotated Corpus." Proceedings of the 4th International Conference on Natural Language and Speech Processing (ICNLSP 2021), 147–155. Association for Computational Linguistics.
  • Dahou, Abdelhalim Hafedh, and Mohamed Amine Cheragui. 2022. "Impact of Normalization and Data Augmentation in NER for Algerian Arabic Dialect." Modelling and Implementation of Complex Systems: Proceedings of the 7th International Symposium, MISC 2022, Mostaganem, Algeria, October 30‐31, 2022. 249-262. Springer International Publishing. doi: https://doi.org/10.1007/978-3-031-18516-8_18.
  • Dahou, Abdelhalim Hafedh, and Mohamed Amine Cheragui. 2023. "Named Entity Recognition for Algerian Arabic Dialect in Social Media." 12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022” Intelligent Information, Data Science and Decision Support System. 135-145. Springer International Publishing. doi: https://doi.org/10.1007/978-3-031-25344-7_13.
  • Ben Aichaoui, Shaimaa, Nawel Hiri, Abdelhalim Hafedh Dahou, and Mohamed Amine Cheragui. 2022 (Forthcoming). "Automatic Building of a Large Arabic Spelling Error Corpus." SN Computer Science 2 (4): 108. doi: https://doi.org/10.1007/s42979-022-01499-x.