Ontology Learning for the Semantic Web explores techniques for
applying knowledge discovery techniques to different web data
sources (such as HTML documents, dictionaries, etc.), in order to
support the task of engineering and maintaining ontologies. The
approach of ontology learning proposed in Ontology Learning for the
Semantic Web includes a number of complementary disciplines that
feed in different types of unstructured and semi-structured data.
This data is necessary in order to support a semi-automatic
ontology engineering process.
Ontology Learning for the Semantic Web is designed for researchers
and developers of semantic web applications. It also serves as an
excellent supplemental reference to advanced level courses in
ontologies and the semantic web.
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