Abstract
In this paper, we outline an ontology-driven approach to the organisation, classification, and mining of cultural heritage documents on the Semantic Web. We propose its implementation as a person-machine system that uses Statistical NLP methods to extract cultural heritage information from texts contained in distributed information sources connected within a schema-based peer-to-peer network infrastructure.
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© 2004 Springer-Verlag Berlin Heidelberg
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Mavrikas, E.C., Nicoloyannis, N., Kavakli, E. (2004). Cultural Heritage Information on the Semantic Web. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds) Engineering Knowledge in the Age of the Semantic Web. EKAW 2004. Lecture Notes in Computer Science(), vol 3257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30202-5_35
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DOI: https://doi.org/10.1007/978-3-540-30202-5_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23340-4
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