Effective and efficient data management is vital to today's
applications. Traditional data management mainly focuses on
information procession involving data within a single organisation.
Data are unified according to the same schema and there exists an
agreement between the interacting units as to the correct mapping
between these concepts. Nowadays, data management systems have to
handle a variety of data sources, from proprietary ones to data
publicly available. Investigating the relevance between data for
information sharing has become an essential challenge for data
management. This book explores the technology and application of
semantic data management by bringing together various research
studies in different subfields.
General
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