Knowledge Discovery II

Wednesday, September 14, 2016 - 15:15 to 16:45
Wirtschaftswissenschaftliche Fakultät SR2


Michael Fuchs
Technology Evangelist
ABBYY Europe


How to compute semantic relationships between entities and facts out of natural texts

Fact and entity extraction from unstructured, natural language texts is already a very challenging problem. But even if a system can identify persons, organisations or other entities, it is very likely that an essential piece of information is missing:

Research & Innovation

EULAide: Interpretation of End-User License Agreements using Ontology-Based Information Extraction

Ignoring End-User License Agreements (EULAs) for online services due to their length and complexity is a risk undertaken by the majority of online and mobile service users.

Research & Innovation

Linking Images to Semantic Knowledge Base with User-generated Tags

Images account for an important part of Multimedia Linked Open Data, but currently most of the semantic relations between images and other entities are based on manual semantic annotation.

Research & Innovation

Importing, Translating and Exporting Knowledge via an Ontology of Knowledge Representation Languages

This article introduces KRLO, an ontology of knowledge representation languages (KRLs), the first to represent KRL abstract models in a uniform way and the first to represent KRL notations, i.e., concrete models.