Ontology Learning for the Semantic Web [electronic resource] /

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.

Bibliographic Details

Main Authors:	Maedche, Alexander. author., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Boston, MA : Springer US : Imprint: Springer, 2002
Subjects:	Computer science., Microprocessors., Data structures (Computer science)., Computers., Artificial intelligence., Computer Science., Artificial Intelligence (incl. Robotics)., The Computing Profession., Data Structures, Cryptology and Information Theory., Theory of Computation., Processor Architectures.,
Online Access:	http://dx.doi.org/10.1007/978-1-4615-0925-7
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