Abstract
The paper presents an ontological approach for enabling semantic-aware information retrieval and browsing framework facilitating the user access to its preferred contents. Through the ontologies the system will express key entities and relationships describing learning material in a formal machine-processable representation. An ontology-based knowledge representation could be used for content analysis and concept recognition, for reasoning processes and for enabling user-friendly and intelligent multimedia content search and retrieval.
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Carbonaro, A. (2008). Personalized Video Browsing and Retrieval in a Semantic-Based Learning Environment. In: Lytras, M.D., et al. The Open Knowlege Society. A Computer Science and Information Systems Manifesto. WSKS 2008. Communications in Computer and Information Science, vol 19. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87783-7_20
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DOI: https://doi.org/10.1007/978-3-540-87783-7_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87782-0
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