Learning Semantic Annotations for Textual Cases

Abstract. In this paper, we propose an approach to attach semantic annotations to textual cases for their representation. To achieve this goal, a framework that combines machine learning algorithms, natural language processing, and domain knowledge to semi-automatically learn semantic annotations for a collection of documents from the field of predictive maintenance is presented.

• Type: Conference
• Year: 2005
• Where: ICCBR
• Authors: Eni Mustafaraj, Martin Hoof, Bernd Freisleben
• Keywords: ICCBR 2005, Machine Learning Algorithms, Natural Language Processing, Semantic Annotations