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Enterprise Knowledge Extraction

Time: 
Tuesday, September 13, 2016 - 12:45 to 13:45
Place: 
Felix-Klein-Hörsaal

Talks

Martin Voigt

Martin Voigt

CEO Ontos GmbH
Ontos GmbH
Ontos GmbH

LEDS Linked Enterprise Data Services

Streaming-based Text Mining using Deep Learning and Semantics

Since the most of the world’s data is unstructured, the mining of required information from text was, is and will be essential.

Michael Krug

Michael Krug

TU Chemnitz
TU Chemnitz

LEDS Linked Enterprise Data Services

KESeDa: Knowledge Extraction from Heterogeneous Semi-Structured Data Sources

A large part of the free knowledge existing on the Web is available as heterogeneous, semi-structured data, which is only weakly interlinked and in general does not include any semantic classi fication.