Gjergji is a Postdoctoral Researcher in the Machine Learning and Perception group at Microsoft Research Cambridge. His main research interests are graph-based information retrieval, probabilistic reasoning over large-scale knowledge bases, and semantic search. Together with Thore Graepel, Gjergji is leading the Knowledge Representation and Reasoning group.
Gjergji received his Diploma degree from the University of Marburg in Germany in 2006. From 2006 to 2009, Gjergji has been a doctoral student in the Databases and Information Systems group at the Max-Planck Institute for Informatics in Germany, where he was mainly involved in the YAGO-NAGA project.
Contact:
Gjergji Kasneci
Microsoft Research Ltd
Roger Needham Building
7 J J Thomson Avenue
Cambridge CB3 0FB, U.K.
Tel. +44 (0)1223 479 845
gjergjik@microsoft.com
2011
- Weiwei Cheng, Gjergji Kasneci, Thore Graepel, David Stern, and Ralf Herbrich, Automated Feature Generation from Structured Knowledge, in the 20th ACM Conference on Information and Knowledge Management (CIKM 2011), ACM, 2011
- Ralitsa Angelova, Gjergji Kasneci, and Gerhard Weikum, Graffiti: Graph-Based Classification in Heterogeneous Networks, in Word Wide Web Journal, Springer Verlag, 2011
- Gjergji Kasneci, Jurgen Van Gael, and Thore Graepel, DBrev: Dreaming of a Database Revolution, in the 5th Biennieal Conference on Innovative Datasystems Research (CIDR 2011), Association for Computing Machinery, Inc., 2011
- Gjergji Kasneci, Jurgen Van Gael, David Stern, and Thore Graepel, CoBayes: Bayesian Knowledge Corroboration with Assessors of Unknown Areas of Expertise, in the 4th ACM International Conference on Web Search and Data Mining (WSDM2011) , Association for Computing Machinery, Inc., 2011
2010
- Ulrich Paquet, Jurgen Van Gael, David Stern, Gjergji Kasneci, Ralf Herbrich, and Thore Graepel, Vuvuzelas & Active Learning for Online Classification, in Computational Social Science and the Wisdom of Crowds Workshop (colocated with NIPS 2010), December 2010
- Gjergji Kasneci, Jurgen V. Gael, Ralf Herbrich, and Thore Graepel, Bayesian Knowledge Corroboration with Logical Rules and User Feedback, in ECML PKDD, Springer Verlag, 2010
- Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, and Thore Graepel, Bayesian Knowledge Corroboration with Logical Rules and User Feedback, no. MSR-TR-2010-45, 6 May 2010
- Nicoleta Preda, Gjergji Kasneci, Fabian Suchanek, Thomas Neumann, and Wenjun Yuan, Active Knowledge: Dynamically Enriching RDF Knowledge Bases by Web Services (ANGIE), in International Conference on Management of Data (SIGMOD 2010), ACM, 2010
- Gjergji Kasneci, Searching and Ranking in Entity-Relationship Graphs: From Web Pages to Knowledge, pp. 152, Suedwestdeutscher Verlag fuer Hochschulschriften, 2010
2009
- Gerhard Weikum, Gjergji Kasneci, Maya Ramanath, and Fabian M. Suchanek, Database and information-retrieval methods for knowledge discovery, in Commun. ACM, vol. 52, no. 4, pp. 56-64, Association for Computing Machinery, Inc., 2009
- Gjergji Kasneci, Maya Ramanath, Mauro Sozio, Fabian M. Suchanek, and Gerhard Weikum, STAR: Steiner-Tree Approximation in Relationship Graphs, in ICDE, IEEE, 2009
2008
- Gjergji Kasneci, Maya Ramanath, Fabian M. Suchanek, and Gerhard Weikum, The YAGO-NAGA approach to knowledge discovery, in SIGMOD Record, vol. 37, no. 4, pp. 41-47, Association for Computing Machinery, Inc., 2008
- Gjergji Kasneci, Fabian M. Suchanek, Georgiana Ifrim, Maya Ramanath, and Gerhard Weikum, NAGA: Searching and Ranking Knowledge, in ICDE, IEEE, 2008
- Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum, YAGO: A Large Ontology from Wikipedia and WordNet, in J. Web Sem., vol. 6, no. 3, pp. 203-217, Elsevier , 2008
