Thèse de doctorat : Université de Fribourg, 2020.
Machine Reading ist die Vision, Text automatisiert zu verstehen und in maschinenlesbare Form zu überführen. Die vorliegende Dissertation nimmt sich dieses Problems an und legt dabei besonderes Augenmerk auf die Anwendung in Unternehmen. Hier wird häufig eine große Fülle domänenspezifischen Wissens in Form von unstrukturierten Textdaten vorgehalten. Existierende Methoden der...
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Thèse de doctorat : Université de Fribourg, 2020 ; no. 2192.
We live in an Information Age, facing a rapid increase in the amount of information that is exchanged. This permanently growing amount of data makes the ability to store, analyze, and act upon information a primary concern (in addition to the obvious privacy, legal and ethical issues that are related), raising the question: “How can one consume Big Data and transformit into actionable...
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Thèse de doctorat : Université de Fribourg, 2016 ; no 1970.
Technical and scientific knowledge is produced at an ever-accelerating pace, leading to increasing issues when trying to automatically organize or process it, e.g., when searching for relevant prior work. Knowledge can today be produced both in unstructured (plain text) and structured (metadata or linked data) forms. However, unstructured content is still themost dominant formused to represent...
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