Semantic iot theory applications (6 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2021
Serie: Buch 35 von 538 - Studies in Computational Intelligence
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Sprache: Englisch
Verlag: Springer, 2022
Serie: Buch 35 von 538 - Studies in Computational Intelligence
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Sprache: Englisch
Verlag: Springer, 2022
Serie: Buch 35 von 538 - Studies in Computational Intelligence
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Taschenbuch. Zustand: Neu. Semantic IoT: Theory and Applications | Interoperability, Provenance and Beyond | Rajiv Pandey (u. a.) | Taschenbuch | xx | Englisch | 2022 | Springer | EAN 9783030646219 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot…]com | Anbieter: preigu.
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Sprache: Englisch
Verlag: Springer International Publishing, 2022
Serie: Buch 35 von 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Zustand: 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… 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.
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Sprache: Englisch
Verlag: Springer International Publishing, 2021
Serie: Buch 35 von 538 - Studies in Computational Intelligence
- Hardcover
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Buch. Zustand: 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 challe…nges 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.
Sprache: Englisch
Verlag: Springer Nature, 2021
Serie: Buch 35 von 538 - Studies in Computational Intelligence
- Hardcover
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Hardcover. Zustand: Brand New. 435 pages. 9.25x6.10x9.21 inches. In Stock.
