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001 978-3-031-01894-7
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008 220601s2013 sz | s |||| 0|eng d
020 _a9783031018947
_9978-3-031-01894-7
024 7 _a10.1007/978-3-031-01894-7
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
100 1 _aSheth, Amit.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980388
245 1 0 _aSemantics Empowered Web 3.0
_h[electronic resource] /
_cby Amit Sheth, Krishnaprasad Thirunarayan.
250 _a1st ed. 2013.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2013.
300 _aXVI, 159 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Data Management,
_x2153-5426
505 0 _aRole of Semantics and Metadata -- Types and Models of Semantics -- Annotation -- Adding Semantics to Data -- Semantics for Enterprise Data -- Semantics for Services -- Semantics for Sensor Data -- Semantics for Social Data -- Semantics for Cloud Computing -- Semantics for Advanced Applications.
520 _aAfter the traditional document-centric Web 1.0 and user-generated content focused Web 2.0, Web 3.0 has become a repository of an ever growing variety of Web resources that include data and services associated with enterprises, social networks, sensors, cloud, as well as mobile and other devices that constitute the Internet of Things. These pose unprecedented challenges in terms of heterogeneity (variety), scale (volume), and continuous changes (velocity), as well as present corresponding opportunities if they can be exploited. Just as semantics has played a critical role in dealing with data heterogeneity in the past to provide interoperability and integration, it is playing an even more critical role in dealing with the challenges and helping users and applications exploit all forms of Web 3.0 data. This book presents a unified approach to harness and exploit all forms of contemporary Web resources using the core principles of ability to associate meaning with data through conceptualor domain models and semantic descriptions including annotations, and through advanced semantic techniques for search, integration, and analysis. It discusses the use of Semantic Web standards and techniques when appropriate, but also advocates the use of lighter weight, easier to use, and more scalable options when they are more suitable. The authors' extensive experience spanning research and prototypes to development of operational applications and commercial technologies and products guide the treatment of the material. Table of Contents: Role of Semantics and Metadata / Types and Models of Semantics / Annotation -- Adding Semantics to Data / Semantics for Enterprise Data / Semantics for Services / Semantics for Sensor Data / Semantics for Social Data / Semantics for Cloud Computing / Semantics for Advanced Applications.
650 0 _aComputer networks .
_931572
650 0 _aData structures (Computer science).
_98188
650 0 _aInformation theory.
_914256
650 1 4 _aComputer Communication Networks.
_980389
650 2 4 _aData Structures and Information Theory.
_931923
700 1 _aThirunarayan, Krishnaprasad.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980390
710 2 _aSpringerLink (Online service)
_980391
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031007668
776 0 8 _iPrinted edition:
_z9783031030222
830 0 _aSynthesis Lectures on Data Management,
_x2153-5426
_980392
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01894-7
912 _aZDB-2-SXSC
942 _cEBK
999 _c84951
_d84951