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.
Read More
Specifications
Book Details
Imprint
Springer-Verlag New York Inc.
Series & Set Details
Series Name
The Springer International Series in Engineering and Computer Science
Dimensions
Height
235 mm
Length
155 mm
Weight
421 gr
Be the first to ask about this product
Safe and Secure Payments.Easy returns.100% Authentic products.