Question answering from lecture videos based on an automatic semantic annotation

Authors:
Stephan Repp;Serge Linckels;Christoph Meinel
Affiliations:
Hasso-Plattner-Institut für Softwaresystemtechnik GmbH (HPI), Potsdam, Germany;Hasso-Plattner-Institut für Softwaresystemtechnik GmbH (HPI), Potsdam, Germany;Hasso-Plattner-Institut für Softwaresystemtechnik GmbH (HPI), Potsdam, Germany
Venue:
Proceedings of the 13th annual conference on Innovation and technology in computer science education
Year:
2008

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Abstract

The number of digital lecture video recordings has increased dramatically. The accessibility, usability and the traceability of their content for students-use is limited. Therefore retrieval of audiovisual lecture recordings is a complex task. Speech recognition is applied to create a tentative and deficient transcription of the video recordings. The imperfect transcription is sufficient to generate semantic metadata serialized in an OWL file. A question answering system based on the automatically generated semantic annotations and a semantic search engine are presented. The annotation process is discussed, evaluated and compared to a perfectly annotated OWL file and, further, to a corrected transcript of the lecture.