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Erschienen in:
Introduction: Linked Data and the Semantic Web Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

4. Creating Linked Data from Relational Databases

verfasst von : Nikolaos Konstantinou, Dimitrios-Emmanuel Spanos

Erschienen in: Materializing the Web of Linked Data

Verlag: Springer International Publishing

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Abstract

In this Chapter, we consider relational databases as a data source for the generation of Linked Data, given that they constitute one of the most popular data storage media, containing huge data volumes that feed the vast majority of information systems worldwide. In this context, we review the related literature and reveal the main motivations that fuel the relevant approaches, and the benefits that arise from their application. We present a categorization of approaches that map relational databases to the Semantic Web and identify tool implementations that extract RDF graphs from relational database instances. We also sketch a proof-of-concept use case scenario regarding how a repository with scholarly information can be converted to a Linked Data endpoint. The Chapter ends with a discussion of the open issues and future outlook for the problem of RDF generation from relational databases.

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Vorheriges Kapitel Deploying Linked Open Data: Methodologies and Software Tools
Nächstes Kapitel Generating Linked Data in Real-time from Sensor Data Streams
Fußnoten
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Metadaten
Titel
Creating Linked Data from Relational Databases
verfasst von
Nikolaos Konstantinou
Dimitrios-Emmanuel Spanos
Copyright-Jahr
2015
Buch
Materializing the Web of Linked Data

Print ISBN: 978-3-319-16073-3

Electronic ISBN: 978-3-319-16074-0

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-16074-0_4

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