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Analytics Building business tools for the scholarly publishing domain using LOD and the ELK stack Semantics Vienna 2018Markus Kind Senior Manager Semantic Data Business Owner SN SciGraph1Agenda (25
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Understand the basics of semantic web technology, including RDF, OWL, SPARQL, and ontologies.
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Define the data structure and relationships between entities using RDF triples.
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Use ontology languages like OWL to create a formal representation of the data.
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Query and retrieve data using SPARQL.
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Implement the semantic web technology in your system or application.

Who needs a semantic web technology?

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Researchers and academics working with large and complex datasets.
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A semantic web technology is a set of standards and tools used to enable machines to understand and interpret the meaning of data on the web.
Any organization or individual working with data on the web may be required to implement semantic web technology.
Semantic web technology can be implemented by following standards such as RDF, OWL, SPARQL, and others to structure data in a meaningful way.
The purpose of semantic web technology is to enable machines to interpret and understand the meaning of data on the web, facilitating better data integration and interoperability.
Information such as data sources, relationships between data, metadata, and ontologies must be reported using semantic web technology.
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