For bachelor students we offer German lectures on database systems in addition with paper- or project-oriented seminars. Within a one-year bachelor project students finalize their studies in cooperation with external partners. For master students we offer courses on information integration, data profiling, search engines and information retrieval enhanced by specialized seminars, master projects and advised master theses.
The Web Science group focuses on various topics related to the Web, such as Information Retrieval, Natural Language Processing, Data Mining, Knowledge Discovery, Social Network Analysis, Entity Linking, and Recommender Systems. The group is particularly interested in Text Mining to deal with the vast amount of unstructured and semi-structured information available on the Web.
Most of our research is conducted in the context of larger research projects, in collaboration across students, across groups, and across universities. We strive to make available most of our data sets and source code.
Ongoing: "Developing a Content-focused Serendipity Model for Recommendations" by Thorben Lindhauer, 2014
Ongoing: "Large-Scale Hashtag Recommendation for Arbitrary Texts" by Gary Yao, 2014
Ongoing: "Scanpath Comparison for Visual Search Analysis", by Markus Hinsche, 2014
"Expert Search in Heterogeneous Bibliographic Networks" by Stefan George, 2013
"Analyzing and Predicting Viral Tweets" by Maximilian Jenders, 2012
Education & Professional Experience
2012 - present: Senior Researcher at the Hasso Plattner Institute, Potsdam, Germany
2009 - 2011: Post-Doc Researcher at Microsoft Research Cambridge, UK
2009: 3-months internship with Microsoft Research Redmond, US
2006 - 2009: PhD student at the Max-Planck Institute for Informatics, Saarbrücken, Germany
2004: 3-months internship with Siemens Medical Solutions, Germany
2000 - 2005: Student of Computer Science and Math at the University of Marburg, Germany
Scholarships, Funds, Prizes & Awards
2013: Research fund of €300,000 by the German Research Foundation (DFG)
2011: Patent award by Microsoft Research for "Semantic Feature Vector Construction"
2011: Patent award by Microsoft Research for "Probabilistic Knowledge Corroboration"
2010: Grant of $130,000 by Microsoft Research for co-leading a research project on probabilistic inference and knowledge representation (with Prof. Zoubin Ghahramani)
2006 - 2009: Scholarship from e-fellows.net (private sector online scholarship, supported by Deutsche Telekom, McKinsey et al.)
2006 - 2009: Fellowship from the International Max Planck Research School for Computer Science (full funding of PhD studies)
2003 - 2006: Scholarship from the German National Academic Foundation (Deutche Studienstiftung)
Recent Professional Activities
2014: Committee member of CIKM 2014
2014: Committee member of SIGMOD 2015
2014: Committee member of VLDB 2015
2014: Committee member of ICANN 2014
2014: Reviewer for the ACM Journal of Data and Information Quality
2014: Reviewer for the Elsevier Information Systems Journal
2014: Reviewer for the Elsevier Journal of Web Semantics
2013: Demo committee member of EDBT 2014
2013: Reviewer for the Elsevier Information Systems Journal
2013: Reviewer for the Elsevier Journal of Web Semantics
2013: Reviewer for VLDB 2013
2012: Reviewer for the Microsoft Research PhD Scholarship Programme
2011: Committee member of WWW 2012
2011: Committee member of EDBT 2012
2011: Reviewer for the IEEE Transactions on Knowledge & Data Engineering (TKDE)
2011: Reviewer for the Microsoft Research PhD Scholarship Programme
2010: Committee member of EDBT 2011
2010: Reviewer for the IEEE Transactions on Knowledge & Data Engineering (TKDE)
2010: Panel member for the ECIR Industry Day 2010, on leveraging semantics for better search experience
2010: Organizer of reading group on Information Extraction and Semantic Technologies at Microsoft Research Cambridge, UK, (12 weeks)
Presentations and Invited Talks
2014: Invited talk at the Commerzbank head quarter, Frankfurt a. M.: Skalierbares Lernen aus großen Datenmengen - der Mythos vom Data-Scientist
2013: Invited talk at the Max-Planck Institute for Informatics, Saarbrücken: Knowledge Corroboration with Logical Rules and User Feedback
2013: Invited talk at the Institute of Computer Science, Humboldt University, Berlin: Scalable Reasoning with Knowledge from the Web
2012: Invited talk at the 3rd International Workshop on Quality in Web Engineering (colocated with ICWE 2012)
2011: Invited talk at the Computing Laboratory of the University of Oxford: Knowledge from the Web: Understanding and Reasoning
2011: Invited talk at the Computer Science Department of the University of Washington: Bayesian Knowledge Corroboration with Logical Rules and User Feedback
2011: Lab Tutorial on large-scale information extraction, knowledge representation, and knowledge search at Microsoft Research Cambridge, UK
2010: Invited talk at the Engineering Department of the University of Cambridge: Searching for Knowledge Instead of Web Pages
2010: Selected talk for Microsoft Bing executives, Cambridge, UK: Bayesian Knowledge Corroboration, Learning from Crowds
2010: Invited talk at True Knowledge, Cambridge, UK: Searching for Knowledge Instead of Web Pages
2008: Invited talk at Microsoft Research Cambridge, UK: The YAGO-NAGA Project: From Web Pages to Knowledge
2007: Invited talk at the Informatics Department of the University of Dortmund: The Complexity of Reasoning about Pattern-Based XML Schemas
Zhe Zuo, Gjergji Kasneci, Toni Grütze, Felix Naumann: BEL - Bagging for Entity Linking. COLING 2014.
Andreas Rogge-Solti, Gjergji Kasneci: Temporal Anomaly Detection in Business Processes. BPM 2014.
Enkelejda Kasneci, Gjergji Kasneci, Thomas Kübler, Wolfgang Rosenstiel: Online Recognition of Fixations, Saccades, and Smooth Pursuits for Automated Analysis of Trafﬁc Hazard Perception. Book chapter, Springer Series "Artificial Neural Networks - Methods and Applications" (in press) 2014.
Philipp Langer, Patrick Schulze, Stefan George, Matthias Kohnen, Tobias Metzke, Ziawasch Abedjan, Gjergji Kasneci: Assigning Global Relevance Scores to DBpedia Facts. DESWeb 2014.
Enkelejda Kasneci, Gjergji Kasneci, Ulrich Schiefer, Wolfgang Rosenstiel: Rule-Based Classification of Visual Field Defects. HEALTHINF 2014 (nominated for best paper award).
Toni Gruetze, Gjergji Kasneci, Zhe Zuo, and Felix Naumann: Bootstrapping Wikipedia to Answer Ambiguous Person Name Queries. IIWeb 2014.
Enkelejda Kasneci, Gjergji Kasneci, Thomas Kübler, Wolfgang Rosenstiel: The Applicability of Probabilistic Methods to the Online Recognition of Fixations and Saccades in Dynamic Scenes. ETRA 2014.