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Verlag: Arihant Publication India Limited, 2022
ISBN 10: 9326195430 ISBN 13: 9789326195430
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Verlag: Lap Lambert Academic Publishing, 2011
ISBN 10: 3846528196 ISBN 13: 9783846528198
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Verlag: LAP LAMBERT Academic Publishing Aug 2011, 2011
ISBN 10: 3844317430 ISBN 13: 9783844317435
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -The first chapter discusses about the forestry's contribution and poor. The subsequent chapter develops the theoretical basis for analyzing linkages between household charecteristics and forestry¿s contribution. The third chapter describes the study region and available resources. Chapter four builds on the theory to generate a set of operational hypotheses about the forestry's contribution and linkages with household attributes. Chapter five appraises the quality of life of the community and examines the relationships between household characteristics and forestry¿s contribution. The sixth chapter focuses on gender role and inequality with special refrence to forest collection. Chapter seven contains proposed indices for measure of forestry¿s contribution. The final chapter summaries the results and sets these findings within the content of public policies that influences forest management and conservation.Books on Demand GmbH, Überseering 33, 22297 Hamburg 200 pp. Englisch.
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ISBN 10: 3846528196 ISBN 13: 9783846528198
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Verlag: Springer International Publishing, Springer International Publishing Apr 2022, 2022
ISBN 10: 3030646211 ISBN 13: 9783030646219
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 436 pp. Englisch.
Verlag: Springer International Publishing, Springer International Publishing Apr 2021, 2021
ISBN 10: 3030646181 ISBN 13: 9783030646189
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 436 pp. Englisch.
Verlag: Springer International Publishing, 2022
ISBN 10: 3030646211 ISBN 13: 9783030646219
Sprache: Englisch
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In den WarenkorbTaschenbuch. 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.
Verlag: Springer International Publishing, 2021
ISBN 10: 3030646181 ISBN 13: 9783030646189
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbBuch. 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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