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Title:
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CONTEXT-AWARE RETRIEVAL OF LEARNING UNITS |
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Author(s):
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Natalie Mareth, Alexander Streicher, Alexander Bauer, Wolfgang Roller |
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ISBN:
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978-972-8939-17-5 |
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Editors:
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Miguel Baptista Nunes and Maggie McPherson |
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Year:
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2010 |
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Edition:
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Vol. I |
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Keywords:
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e-learning, ontology, retrieval, semantic spreading activation, image interpretation |
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Type:
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Full Paper |
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First Page:
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357 |
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Last Page:
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364 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 learners 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. |
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