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Semantic Web and Linked Data

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Title
Semantic Web and Linked Data
Title of Series
Number of Parts
14
Author
License
CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date2018
LanguageEnglish
Producer
Production PlaceGraz (Austria)

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Subject Area
Genre
Abstract
This lecture is about Semantic Web and LInked data. This lecture was held into de ESSIS 2018 (European Summer School of Information Science) under the project EINFOSE funded by Erasmus+
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