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In this paper, we present an adaptation the Bag of Features (BoF) concept to 3D shape retrieval problems. The BoF approach has recently become one of the most popular methods in 2D image retrieval. We extent this approach from 2D images to 3D shapes. Following the BoF outline, we address the necessary modifications for the 3D extension and present novel solutions for the parameterization of 3D patches,...
The thirst for information in complex working environments calls for intelligent systems which optimally assist the user, i.e. which offer the user the most relevant information. The aim is to decrease the time the user has to spend on his hunt for information and to offer him the best fitting help and learning material in an on-demand manner. We present an approach for the semantic retrieval of help...
In our work we describe an approach for automated and approximate evaluation of character based answers in computer-based tests. Cloze exercises (‘fill-in-the-blank’) are error-prone to a variety of potential error sources and are subject to syntactic and semantic ambiguities. Our approach combines string similarity measurements with semantic word analysis to render this type of computer-based exercise...
In our work we describe an approach for the automatic evaluation of student test results by a web based e-learning application, which considers more criteria than the obvious correctness. This evaluation is focused on the use in adaptive learning paths, meaning that the student's learning path is adapted based on the test results. We describe a concept which integrates the evaluation of more criteria...
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