From Big Data to Big Knowledge - Large-Scale Information Extraction Based on Statistical Methods (Invited Talk)

Reference : From Big Data to Big Knowledge - Large-Scale Information Extraction Based on Statisti...


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/41783

Title :	From Big Data to Big Knowledge - Large-Scale Information Extraction Based on Statistical Methods (Invited Talk)
Language :	English
Author, co-author :	Theobald, Martin [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	14-May-2019
Peer reviewed :	No
On invitation :	Yes
Audience :	International
Event name :	{SOFSEM} 2019: Theory and Practice of Computer Science - 45th International Conference on Current Trends in Theory and Practice of Computer Science, Novy Smokovec, Slovakia, January 27-30, 2019, Proceedings
Event date :	from 27-01-2019 to 30-01-2019
Keywords :	[en] Information Extraction ; Big Data
Permalink :	http://hdl.handle.net/10993/41783

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