Abstract
This paper discusses an on-going research project in developing a semantic digital library for academic institution. It provides another view of semantic information retrieval for digital library from the perspective of semantic technology and ontology. We proposed an approach for managing, organizing and populating ontology for document collections in digital library. In this sense the document metadata and content are inserted and populated to a knowledge base which allows sophisticated query and searching. The paper also proposed an ontology based information retrieval model which is based on the classic vector space model which includes document annotation, instance-based weighting and concept-based ranking.
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Noah, S.A. et al. (2010). Ontology-Driven Semantic Digital Library. In: Cheng, PJ., Kan, MY., Lam, W., Nakov, P. (eds) Information Retrieval Technology. AIRS 2010. Lecture Notes in Computer Science, vol 6458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17187-1_13
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DOI: https://doi.org/10.1007/978-3-642-17187-1_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17186-4
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