9783030646189 - semantic iot - theory and applications: interoperability, provenance and beyond: 941 (11 risultati)

Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Lingua: Inglese
Editore: Springer International Publishing, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is focused on an emerging area, i.e. combination of IoT and semantic technologies, which should enable breaking the silos of local and/or domain-specific IoT deployments. Taking into account the way that IoT ecosystems are realized, several cha…llenges can be identified. Among them of definite importance are (this list is, obviously, not exhaustive): (i) How to provide common representation and/or shared understanding of data that will enable analysis across (systematically growing) ecosystems (ii) How to build ecosystems based on data flows (iii) How to track data provenance (iv) How to ensure/manage trust (v) How to search for things/data within ecosystems (vi) How to store data and assure its quality Semantic technologies are often considered among the possible ways of addressing these (and other, related) questions. More precisely, in academic research and in industrial practice, semantic technologies materialize in the following contexts (this list is, also, not exhaustive, but indicates the breadth of scope of semantic technology usability): (i) representation of artefacts in IoT ecosystems and IoT networks, (ii) providing interoperability between heterogeneous IoT artefacts, (ii) representation of provenance information, enabling provenance tracking, trust establishment, and quality assessment, (iv) semantic search, enabling flexible access to data originating in different places across the ecosystem, (v) flexible storage of heterogeneous data. Finally, Semantic Web, Web of Things, and Linked Open Data are architectural paradigms, with which the aforementioned solutions are to be integrated, to provide production-ready deployments.

Lingua: Inglese
Editore: Springer Nature, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 435 pages. 9.25x6.10x9.21 inches. In Stock.

Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Condizione: new. Questo è un articolo print on demand.

Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer International Publishing Apr 2021, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is focused on an emerging area, i.e. combination of IoT and semantic technologies, which should enable breaking the silos of local and/or domain-specific IoT deployments. Taking into account the way that IoT ecosystems are reali…zed, several challenges can be identified. Among them of definite importance are (this list is, obviously, not exhaustive): (i) How to provide common representation and/or shared understanding of data that will enable analysis across (systematically growing) ecosystems (ii) How to build ecosystems based on data flows (iii) How to track data provenance (iv) How to ensure/manage trust (v) How to search for things/data within ecosystems (vi) How to store data and assure its quality Semantic technologies are often considered among the possible ways of addressing these (and other, related) questions. More precisely, in academic research and in industrial practice, semantic technologies materialize in the following contexts (this list is, also, not exhaustive, but indicates the breadth of scope of semantic technology usability): (i) representation of artefacts in IoT ecosystems and IoT networks, (ii) providing interoperability between heterogeneous IoT artefacts, (ii) representation of provenance information, enabling provenance tracking, trust establishment, and quality assessment, (iv) semantic search, enabling flexible access to data originating in different places across the ecosystem, (v) flexible storage of heterogeneous data. Finally, Semantic Web, Web of Things, and Linked Open Data are architectural paradigms, with which the aforementioned solutions are to be integrated, to provide production-ready deployments. 436 pp. Englisch.

Semantic IoT: Theory and Applications
Pandey, Rajiv|Paprzycki, Marcin|Srivastava, Nidhi|Bhalla, Subhash|Wasielewska-Michniewska, Katarzyna
Lingua: Inglese
Editore: Springer International Publishing, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a guideline manual on how semantic technologies can be applied to solve real-life problems originating in the IoT domainFocuses on semantic data representation and extended functionalities of the s…emantic layeredDiscusses applicati.

Lingua: Inglese
Editore: Springer, Palgrave Macmillan Apr 2021, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is focused on an emerging area, i.e. combination of IoT and semantic technologies, which should enable breaking the silos of local and/or domain-specific IoT deployments.Taking into account the way that IoT ecosystems are realized,…several challenges can be identified. Among them of definite importance are (this list is, obviously, not exhaustive): (i) How to provide common representation and/or shared understanding of data that will enable analysis across (systematically growing) ecosystems (ii) How to build ecosystems based on data flows (iii) How to track data provenance (iv) How to ensure/manage trust (v) How to search for things/data within ecosystems (vi) How to store data and assure its quality Semantic technologies are often considered among the possible ways of addressing these (and other, related) questions. More precisely, in academic research and in industrial practice, semantic technologies materialize in the following contexts (this list is, also, not exhaustive, but indicates the breadth of scope of semantic technology usability): (i) representation of artefacts in IoT ecosystems and IoT networks, (ii) providing interoperability between heterogeneous IoT artefacts, (ii) representation of provenance information, enabling provenance tracking, trust establishment, and quality assessment, (iv) semantic search, enabling flexible access to data originating in different places across the ecosystem, (v) flexible storage of heterogeneous data. Finally, Semantic Web, Web of Things, and Linked Open Data are architectural paradigms, with which the aforementioned solutions are to be integrated, to provide production-ready deployments.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 436 pp. Englisch.

Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Lingua: Inglese
Editore: Springer, 2021
Serie: Libro 35 di 538 - Studies in Computational Intelligence
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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