Sebastian Rittau

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The knowledge contained in the growing number of scientific digital publications, particularly over the internet creates new demands for intelligent retrieval mechanisms. One basic approach in support of such retrieval mechanisms is the generation of semantic annotation, based on ontologies describing both the field and the structure of the texts(More)
Die automatische Extraktion von Wissen aus natürlichsprachlichen Texten ist eine große technische Herausforderung, die – betrachtet man die Gesamtheit aller möglichen schriftlichen Quellen – heute noch als weitgehend ungelöst gelten muss. Wissenschaftliche und insbesondere mathematische Texte zeichnen sich jedoch durch einen höheren Grad der(More)
Automated extraction of knowledge from natural language texts is a major technical challenge that remains largely unsolved. Scientific texts in general, and mathematical texts in particular, are characterised by the use of complex language constructs with the intent to transfer knowledge. To a large extend, mathematical texts possess a strict internal(More)
The knowledge contained in digital lectures and articles used in eLearning platforms like Moodle and Blackboard, is creating new demands for intelligent retrieval mechanisms. One basic approach in support of such retrieval mechanisms is the generation of semantic annotation, based on ontologies describing both the field and the structure of the texts(More)
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