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:
- Zapilko, Benjamin, Ahsan Morshed, Gudrun Johannsen, Philipp Mayr, and Johannes Keizer. 2011. "Evaluating approaches to automatically match thesauri from different domains for Linked Open Data." 10th European NKOS Workshop / TPDL 2011. http://www.comp.glam.ac.uk/pages/research/hypermedia/nkos/nkos2011/.
- van Hoek, Wilko, Brigitte Mathiak, Philipp Mayr, and Sascha Schüller. 2011. "Comparing the accuracy of the semantic similarity provided by the Normalized Google Distance (NGD) and the Search Term Recommender (STR)." 10th European NKOS Workshop at TPDL 2011.
- Mayr, Philipp. 2011. "Theories of information seeking behavior:: Anwendungsmöglichkeiten für die Suche heute." 26. Oberhofer Kolloquium "Web 3.0 - Wird es das Web der Informationsspezialisten?".
- Hienert, Daniel, Benjamin Zapilko, Philipp Schaer, and Brigitte Mathiak. 2011. "Web-based multi-view visualizations for aggregated statistics." In 2nd International Workshop on Data Visualization and Integration on the Web (DATAVIEW); Proceedings of the 5th International Workshop on Web APIs and Services Mashups Proceedings (Mashups '11), New York: ACM. doi: https://doi.org/10.1145/2076006.2076019. http://arxiv.org/pdf/1110.3126v1.
- Hienert, Daniel, Benjamin Zapilko, Philipp Schaer, and Brigitte Mathiak. 2012. "Vizgr: linking data in visualizations." In Web information systems and technologies : 7th international conference ; revised selected papers, edited by Joaquim Filipe, and José Cordeiro, Lecture notes in business information processing 101, 177-191. Berlin: Springer. http://link.springer.com/chapter/10.1007%2F978-3-642-28082-5_13.