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Context-aware retrieval of learning units

: Mareth, N.; Streicher, A.; Bauer, A.; Roller, W.

Fulltext urn:nbn:de:0011-n-1374491 (4.8 MByte PDF)
MD5 Fingerprint: ffabd633793971c52a4d0f09d7c5b4b2
Created on: 17.8.2010

Nunes, M.B. ; International Association for Development of the Information Society -IADIS-; Univ. Freiburg/Brsg.:
Proceedings of the IADIS International Conference e-Learning 2010. Vol.1 : Part of the IADIS Multi Conference on Computer Science and Information Systems 2010. Freiburg, Germany July 26 - 29, 2010
Freiburg, Brsg.: IADIS Press, 2010
ISBN: 978-972-8939-17-5
Multi Conference on Computer Science and Information Systems (MCCSIS) <2010, Freiburg/Brsg.>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
e-learning; ontology; retrieval; semantic spreading activation; image interpretation; SiteAnalyst

Complex working environments call for flexible employees willing to continuously increase their knowledge and to adapt to new processes. As a consequence a lot of time has to be spent on the search for appropriate information and learning material. We present a new approach for semantic retrieval of learning units considering the working context. Basis is an ontology with attached binding weights and semantic spreading activation to get a context-aware ranking of suitable learning units. The gained semantic search results may fit better to the learner's actual situation than e.g. a pure full-text search, because the underlying ontology-based retrieval is aware of relations in the search domain and uses this knowledge in a way aligned to the learning process as well as to the specific domain. The results are shown in a prototype implementation for Synthetic Aperture Radar (SAR) image interpretation.