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Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks

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Fuzzy Knowledge Management for the Semantic Web (Hardcover, 2014 ed.) Loot Price: R4,041
Discovery Miles 40 410
Fuzzy Knowledge Management for the Semantic Web (Hardcover, 2014 ed.): Zongmin Ma, Fu Zhang, Li Yan, Jingwei Cheng

Fuzzy Knowledge Management for the Semantic Web (Hardcover, 2014 ed.)

Zongmin Ma, Fu Zhang, Li Yan, Jingwei Cheng

Series: Studies in Fuzziness and Soft Computing, 306

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Loot Price R4,041 Discovery Miles 40 410 | Repayment Terms: R379 pm x 12*

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This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the Semantic Web. The topics of this book include fuzzy description logics and fuzzy ontologies, queries of fuzzy description logics and fuzzy ontology knowledge bases, extraction of fuzzy description logics and ontologies from fuzzy data models, storage of fuzzy ontology knowledge bases in fuzzy databases, fuzzy Semantic Web ontology mapping, and fuzzy rules and their interchange in the Semantic Web. The book aims to provide a single record of current research in the fuzzy knowledge representation and reasoning for the Semantic Web. The objective of the book is to provide the state of the art information to researchers, practitioners and graduate students of the Web intelligence and at the same time serve the knowledge and data engineering professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Fuzziness and Soft Computing, 306
Release date: October 2013
First published: 2014
Authors: Zongmin Ma • Fu Zhang • Li Yan • Jingwei Cheng
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Hardcover
Pages: 275
Edition: 2014 ed.
ISBN-13: 978-3-642-39282-5
Categories: Books > Computing & IT > Internet > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN: 3-642-39282-2
Barcode: 9783642392825

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