This paper reviews the current state of the art of machine learning applied to the Semantic Web. It looks at the Semantic Web and its languages, including RDF and OWL, from a machine learning perspective. Trends in the Semantic Web are mentioned throughout and the relationship with Web Services is examined. Applications are discussed with recent examples and pointers to data sets. Finally, the emerging field of Semantic Web Mining is introduced.
|Translated title of the contribution||A review of the state of the art in Machine Learning on the Semantic Web: Technical Report CSTR-05-003|
|Publisher||Department of Computer Science, University of Bristol|
|Number of pages||15|
|Publication status||Published - 2004|
Bibliographical noteOther identifier: CSTR-05-003
Other: Technical Report CSTR-05-003