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Semantically driven presentation of context-relevant learning material

: Streicher, Alexander; Roller, Wolfgang

Preprint urn:nbn:de:0011-n-2039325 (570 KByte PDF)
MD5 Fingerprint: a5c558f1d08f82e6bf3ae4e5e6a5572e
Erstellt am: 12.6.2012

Dan, Chen ; International Economics Development and Research Center -IEDRC-:
Management and education innovation. Selected, peer review papers from the 2012 International Conference on Management and Education Innovation, ICMEI 2012 : May 5-6, 2012, Kuala Lumpur, Malaysia
Singapore: IACSIT Press, 2012 (International Proceedings of Economics Development and Research 37)
ISBN: 978-981-07-2085-8
International Conference on Management and Education Innovation (ICMEI) <2012, Kuala Lumpur>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
e-learning; semantic visualization; semantic retrieval; image interpretation

In this paper we present our work on a new approach for an intuitive presentation of semantic relationships for the results of a semantic search algorithm. The underlying semantic search retrieves the most relevant learning material according to the context of the user. It provides the user with qualified learning material which is intelligently retrieved based on the current working situation. To ease the understanding how the presented result list has been generated a new presentation form is introduced. The preliminary results of our work are shown in a prototype implementation used for radar image interpretation. The aim is to optimally assist the image interpreters by offering relevant help and learning material.