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. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
Mavrikas, E. C., Nicoloyannis, N., & Kavakli, E. (2004). Cultural heritage information on the semantic Web. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3257, pp. 477–478). Springer Verlag. https://doi.org/10.1007/978-3-540-30202-5_35
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
