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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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Main Authors: | , |
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Corporate Author: | |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer,
2015.
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Physical Description: |
1 online resource (xiv, 133 pages) : illustrations. |
Subjects: | |
Online Access: | SpringerLink - Click here for access |
Copy 1 | CMU Electronic Access | Available |
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