國立虎尾科技大學 |

Semantic IoT: Theory and Applications = Interoperability, Provenance and Beyond /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Semantic IoT: Theory and Applications/ edited by Rajiv Pandey, Marcin Paprzycki, Nidhi Srivastava, Subhash Bhalla, Katarzyna Wasielewska-Michniewska.
Reminder of title:	Interoperability, Provenance and Beyond /
other author:	Wasielewska-Michniewska, Katarzyna.
Description:	XX, 415 p. 274 illus., 111 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data Engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-64619-6
ISBN:	9783030646196

Semantic IoT: Theory and Applications = Interoperability, Provenance and Beyond /
Semantic IoT: Theory and ApplicationsInteroperability, Provenance and Beyond /[electronic resource] :edited by Rajiv Pandey, Marcin Paprzycki, Nidhi Srivastava, Subhash Bhalla, Katarzyna Wasielewska-Michniewska. - 1st ed. 2021. - XX, 415 p. 274 illus., 111 illus. in color.online resource. - Studies in Computational Intelligence,9411860-9503 ;. - Studies in Computational Intelligence,564.

A Look at Semantic Web Technology and the Potential Semantic Web Search in the Modern Era -- Provenance Data Models and Assertions: A Demonstrative Approach -- An Online Toolkit for Improving Quality, Accessibility, and Classification of Sensor-based Ontologies -- Creation of Ontological Knowledge Bases in the Semantic Web by Analyzing Table Structures -- Semantic IoT Interoperability and Data Analytics Using Machine Learning in Healthcare Sector -- How to Understand Better "Smart Vehicle"? Knowledge Extraction for the Automotive Sector Using Web of Things -- IFTTT Rely Based a Semantic Web Approach to Simplifying Trigger-Action Programming for Industry Application Control with IoT Scenario -- Semantic Internet of Things (IoT) Interoperability Using Software Defined Network (SDN) and Network Function Virtualization (NFV).

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. .

ISBN: 9783030646196

Standard No.: 10.1007/978-3-030-64619-6doiSubjects--Topical Terms:

1226308
Data Engineering.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Semantic IoT: Theory and Applications = Interoperability, Provenance and Beyond /
LDR:04087nam a22004095i 4500 001 1051099
003 DE-He213
005 20211014135159.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030646196 $9 978-3-030-64619-6
024 7 $a 10.1007/978-3-030-64619-6 $2 doi
035 $a 978-3-030-64619-6
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Semantic IoT: Theory and Applications $h [electronic resource] : $b Interoperability, Provenance and Beyond / $c edited by Rajiv Pandey, Marcin Paprzycki, Nidhi Srivastava, Subhash Bhalla, Katarzyna Wasielewska-Michniewska.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XX, 415 p. 274 illus., 111 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-9503 ; $v 941
505 0 $a A Look at Semantic Web Technology and the Potential Semantic Web Search in the Modern Era -- Provenance Data Models and Assertions: A Demonstrative Approach -- An Online Toolkit for Improving Quality, Accessibility, and Classification of Sensor-based Ontologies -- Creation of Ontological Knowledge Bases in the Semantic Web by Analyzing Table Structures -- Semantic IoT Interoperability and Data Analytics Using Machine Learning in Healthcare Sector -- How to Understand Better "Smart Vehicle"? Knowledge Extraction for the Automotive Sector Using Web of Things -- IFTTT Rely Based a Semantic Web Approach to Simplifying Trigger-Action Programming for Industry Application Control with IoT Scenario -- Semantic Internet of Things (IoT) Interoperability Using Software Defined Network (SDN) and Network Function Virtualization (NFV).
520 $a 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. .
650 2 4 $a Data Engineering. $3 1226308
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Cyber-physical systems, IoT. $3 1226036
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Engineering—Data processing. $3 1297966
650 0 $a Artificial intelligence. $3 559380
650 0 $a Embedded computer systems. $3 562313
650 0 $a Internet of things. $3 1023130
650 0 $a Computer engineering. $3 569006
650 0 $a Computational intelligence. $3 568984
700 1 $a Wasielewska-Michniewska, Katarzyna. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1355587
700 1 $a Bhalla, Subhash. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 674869
700 1 $a Srivastava, Nidhi. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1355586
700 1 $a Paprzycki, Marcin. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 769150
700 1 $a Pandey, Rajiv. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1355585
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030646189
776 0 8 $i Printed edition: $z 9783030646202
776 0 8 $i Printed edition: $z 9783030646219
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-030-64619-6
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)