Arnab Dutta

Researcher

B6, 26, Room C 1.05
Tel.: +49 621 181 2663

E-mail: arnab (at) informatik.uni-mannheim.de

Research GroupKnowledge Representation and Reasoning

Research Interest

  • Open Information Extraction
  • Probabilistic Inference
  • Entity Linking
  • Uncertain data

Dataset

  1. A gold standard dataset consisting of 1200 NELL triples including 12 most-frequent properties. Data format description is included in the package. (link) (bibtex)

Publications

2016

2015

  • Arnab Dutta, Christian Meilicke and Heiner Stuckenschmidt Enriching structured knowledge with open information. In: Proceedings of the 24th International Conference on World Wide Web, {WWW} 2015, Florence, Italy, May 18-22, 2015; 267-277. ACM, New York, NY, 2015.
  • Kristian Kolthoff and Arnab Dutta Semantic relation composition in large scale knowledge bases. In: CEUR workshop proceedingsLinked Data for Information Extraction : Proceedings of the Third International Workshop on Linked Data for Information Extraction (LD4IE2015) co-loc. with the 14th International Semantic Web Conference (ISWC 2015) ; Bethlehem, PA, USA, Oct. 12, 2015; 34-47. RWTH, Aachen, 2015.

2014

  • Arnab Dutta Integration of Large Scale Knowledge Bases using Probabilistic Graphical Models . In: WSDM'14 : proceedings of the 7th ACM International Conference on Web Search and Data Mining; February 24 - 28, 2014, New York, NY, USA; 643-648. ACM, New York, NY, 2014.
  • Arnab Dutta, Christian Meilicke and Simone Paolo Ponzetto A Probabilistic Approach for Integrating Heterogeneous Knowledge Sources. In: Lecture Notes in Computer ScienceThe Semantic Web: Semantics and Big Data : 11th International Conference, ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Proceedings ; 286-301. Springer International Publ., Cham, 2014.
  • Arnab Dutta, Christian Meilicke and Heiner Stuckenschmidt Semantifying Triples from Open Information Extraction Systems. In: Frontiers in Artificial Intelligence and ApplicationsSTAIRS 2014 : Proceedings of the 7th European Starting AI Researcher Symposium; 111-120. IOS Press, Clifton, Va. [u.a.], 2014.
  • Arnab Dutta and Michael Schuhmacher Entity Linking for Open Information Extraction. In: Lecture Notes in Computer ScienceNatural Language Processing and Information Systems : 19th International Conference on Applications of Natural Language to Information Systems, NLDB 2014, Montpellier, France, June 18-20, 2014. Proceedings; 75-80. Springer Internat. Publ., Cham, 2014.

2013