Ontology Learning for the Semantic Web

This book PDF is perfect for those who love Computers genre, written by Alexander Maedche and published by Springer Science & Business Media which was released on 06 December 2012 with total hardcover pages 253. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Ontology Learning for the Semantic Web books below.

Ontology Learning for the Semantic Web
Author : Alexander Maedche
File Size : 50,7 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 06 December 2012
ISBN : 9781461509257
Pages : 253 pages
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Ontology Learning for the Semantic Web by Alexander Maedche Book PDF Summary

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.

Ontology Learning for the Semantic Web

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

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Ontology and the Semantic Web

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Ontology Managememt provides an up-to-date, scientifically correct, concise and easy-to-read reference on this topic. The book includes relevant tasks, practical and theoretical challenges, limitations and methodologies, plus available tooling support. The editors discuss integrating the conceptual and technical dimensions with a business view on using ontologies, stressing the cost dimension

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