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- 978-3-319-58694-6_1 title "Modeling, Generating, and Publishing Knowledge as Linked Data".
- 978-3-319-58694-6_1 isPartOf proceedings_of_the_20th_international_conference_on_knowledge_engineering_and_knowledge_management.
- 978-3-319-58694-6_1 name "Modeling, Generating, and Publishing Knowledge as Linked Data".
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- 978-3-319-58694-6_1 name "Modeling, Generating, and Publishing Knowledge as Linked Data".
- 978-3-319-58694-6_1 topic Linked_Data_publication.
- 978-3-319-58694-6_1 topic Linked_Data_Fragments.
- 978-3-319-58694-6_1 topic XML.
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- 978-3-319-58694-6_1 subject Triple_Pattern_Fragments.
- 978-3-319-58694-6_1 subject Linked_Data.
- 978-3-319-58694-6_1 subject Semantic_Web.
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- 978-3-319-58694-6_1 topic Linked_Data_publication.
- 978-3-319-58694-6_1 topic Linked_Data_Fragments.
- 978-3-319-58694-6_1 topic XML.
- 978-3-319-58694-6_1 topic RML.
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- 978-3-319-58694-6_1 topic Web_API.
- 978-3-319-58694-6_1 topic Triple_Pattern_Fragments.
- 978-3-319-58694-6_1 topic Linked_Data.
- 978-3-319-58694-6_1 topic Semantic_Web.
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- 978-3-319-58694-6_1 abstract "The process of extracting, structuring, and organizing knowledge from one or multiple data sources and preparing it for the Semantic Web requires a dedicated class of systems. They enable processing large and originally heterogeneous data sources and capturing new knowledge. Offering existing data as Linked Data increases its shareability, extensibility, and reusability. However, using Linking Data as a means to represent knowledge can be easier said than done. In this tutorial, we elaborate on the importance of semantically annotating data and how existing technologies facilitate their mapping to Linked Data. We introduce [R2]RML languages to generate Linked Data derived from different heterogeneous data sources (databases, XML, JSON, …) from different interfaces (documents, Web APIs, …). Those who are not Semantic Web experts can annotate their data with the RMLEditor, whose user interface hides all underlying Semantic Web technologies to data owners. Last, we show how to easily publish Linked Data on the Web as Triple Pattern Fragments. As a result, participants, independently of their knowledge background, can model, annotate and publish data on their own.".
- 978-3-319-58694-6_1 datePublished "2017".
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