tailieunhanh - Lecture Notes in Computer Science- P105

Lecture Notes in Computer Science- P105:This year, we received about 170 submissions to ICWL 2008. There were a total of 52 full papers, representing an acceptance rate of about 30%, plus one invited paper accepted for inclusion in this LNCS proceedings. The authors of these accepted papers | Question Answering from Lecture Videos Based on Automatically-Generated Learning Objects Stephan Repp Serge Linckels and Christoph Meinel Hasso Plattner Institut HPI University of Potsdam . Box 900460 D-14440 Potsdam Germany repp linckels meinel @ Abstract. In the past decade we have witnessed a dramatic increase in the availability of online academic lecture videos. There are technical problems in the use of recorded lectures for learning the problem of easy access to the multimedia lecture video content and the problem of finding the semantically appropriate information very quickly. The retrieval of audiovisual lecture recordings is a complex task comprising many objects. In our solution speech recognition is applied to create a tentative and deficient transcription of the lecture video recordings. The transcription and the words from the power point slides are sufficient to generate semantic metadata serialized in an OWL file. Each video segment the lecturer is speaking about one power point slide represent a learning object. A question-answering system based on these learning objects is presented. The annotation process is discussed evaluated and compared to a perfectly annotated OWL file and further to an annotation based on a corrected transcript of the lecture. Furthermore the consideration of the chronological order of the learning objects leads to a better MRR value. Our approach out-performs the Google Desktop Search based on the question keywords. 1 Introduction The amount of educational content in electronic form is increasing rapidly. At the Hasso Plattner Institut HPI alone 25 hours of university lecture videos about computer science are produced every week. Most of them are published in the online Tele-TASK archive1. Although such resources are common it is not easy for a user to find one that corresponds best to his her expectations. This problem is mostly due to the fact that the content of such resources is often not .

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