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This book systemically presents the latest research findings in
fuzzy RDF data modeling and management. Fuzziness widely exist in
many data and knowledge intensive applications. With the increasing
amount of metadata available, efficient and scalable management of
massive semantic data with uncertainty is of crucial importance.
This book goes to great depth concerning the fast-growing topic of
technologies and approaches of modeling and managing fuzzy metadata
with Resource Description Framework (RDF) format. Its major topics
include representation of fuzzy RDF data, fuzzy RDF graph matching,
query of fuzzy RDF data, and persistence of fuzzy RDF data in
diverse databases. The objective of the book is to provide the
state-of-the-art information to researchers, practitioners, and
postgraduates students who work on the area of big data
intelligence and at the same time serve as the uncertain data and
knowledge engineering professional as a valuable real-world
reference.
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