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Materializing the web of linked data

This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly inf...

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Detalles Bibliográficos
Autores principales: Konstantinou, Nikolaos, Spanos, Dimitrios-Emmanuel
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2020785
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author Konstantinou, Nikolaos
Spanos, Dimitrios-Emmanuel
author_facet Konstantinou, Nikolaos
Spanos, Dimitrios-Emmanuel
author_sort Konstantinou, Nikolaos
collection CERN
description This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data. It presents how Linked Data is used for web-scale data integration, information management and search. Special emphasis is given to the publication of Linked Data from relational databases as well as from real-time sensor data streams. The authors also trace the transformation from the document-based World Wide Web into a Web of Data. Materializing the Web of Linked Data is addressed to researchers and professionals studying software technologies, tools and approaches that drive the Linked Data ecosystem, and the Web in general.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-20207852021-04-21T20:17:11Zhttp://cds.cern.ch/record/2020785engKonstantinou, NikolaosSpanos, Dimitrios-EmmanuelMaterializing the web of linked dataInformation Transfer and ManagementThis book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data. It presents how Linked Data is used for web-scale data integration, information management and search. Special emphasis is given to the publication of Linked Data from relational databases as well as from real-time sensor data streams. The authors also trace the transformation from the document-based World Wide Web into a Web of Data. Materializing the Web of Linked Data is addressed to researchers and professionals studying software technologies, tools and approaches that drive the Linked Data ecosystem, and the Web in general.This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data. It presents how Linked Data is used for web-scale data integration, information management and search. Special emphasis is given to the publication of Linked Data from relational databases as well as from real-time sensor data streams. The authors also trace the transformatSpringeroai:cds.cern.ch:20207852015
spellingShingle Information Transfer and Management
Konstantinou, Nikolaos
Spanos, Dimitrios-Emmanuel
Materializing the web of linked data
title Materializing the web of linked data
title_full Materializing the web of linked data
title_fullStr Materializing the web of linked data
title_full_unstemmed Materializing the web of linked data
title_short Materializing the web of linked data
title_sort materializing the web of linked data
topic Information Transfer and Management
url http://cds.cern.ch/record/2020785
work_keys_str_mv AT konstantinounikolaos materializingtheweboflinkeddata
AT spanosdimitriosemmanuel materializingtheweboflinkeddata