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Summary Part-Exam 2 - Knowledge & Data (5072KNDA6Y)

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A complete summary of the “Knowledge & Data” course that includes all exam material for the second sub-exam. This summary provides a clear explanation of complex concepts, practical examples and visual support so that you are well prepared for the exam

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Knowledge and Data 2




• Recap RDF
• RDF ➔ graph data model for the web
• Uses triples:
• RDF triple ➔ <subject><predicate><object>
• <thing><relationship><thing>
• Resources: things about which we want to make statements
• URl's
• Literals: values like strings, numbers, dates, booleans
• Subjects and predicates are alwayd resources
• Objects can be resources or literals



• SPARQL
• SELECT clause:
• SELECT*: select all rows that match the where clause
• SELECT ?thing: select a column ?
• SELECT DISTINCT: each result row must be unique

, • ASK ➔ returns true if there is a match, false otherwise
• CONSTRUCT ➔ returns an RDF graph based on the matching
CONSTRUCT clause.
• DESCRIBE ➔ returns an RDF graph 'describing the returned results.'


• WHERE clause: specifies what to match in the data
• Triple pattern ➔ a triple with O or more variables. One or more variables
can be a wildcard (e.g. ?star)

PREFIX ex: <http://ex.org/voc#>
SELECT*
= =
WHERE { ======================== ====

}




• Basic graph pattern ➔ a set of triple patterns
• "What movies did the stars of 'Sharknado' also star in? "

Query:
PREFIX ex: <http://ex.org/voc#>
SELECT *
WHERE { ei:eu.u



"Basic Graph Pattern"
(a set of triple patterns)



• Join variable ➔ a variable appearing in more than one triple pattern

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Uploaded on
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Written in
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Type
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