6CC001 Workshop - week 09
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Let's create an RDF file that specifies that:
- This page is called “Watchmen” and is about comics
- This page is called “Sin City” and is about comics
- This page is called “Maus” and is about comics
- This page is called “1984” and is about books
- This page is called “Never le me go” and is about books
- This page is called “Ender’s game” and is about books
Here is the code:
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"> <rdf:Description rdf:about="http://en.wikipedia.org/wiki/Watchmen"> <dc:title>Watchmen</dc:title> <dc:subject>Comics</dc:subject> </rdf:Description> <rdf:Description rdf:about="http://en.wikipedia.org/wiki/Sin_city"> <dc:title>Sin City</dc:title> <dc:subject>Comics</dc:subject> </rdf:Description> <rdf:Description rdf:about="http://en.wikipedia.org/wiki/Maus"> <dc:title>Maus</dc:title> <dc:subject>Comics</dc:subject> </rdf:Description> <rdf:Description rdf:about="http://en.wikipedia.org/wiki/Nineteen_Eighty-Four"> <dc:title>1984</dc:title> <dc:subject>Books</dc:subject> </rdf:Description> <rdf:Description rdf:about="http://en.wikipedia.org/wiki/Never_Let_Me_Go"> <dc:title>Never let me go</dc:title> <dc:subject>Books</dc:subject> </rdf:Description> <rdf:Description rdf:about="http://en.wikipedia.org/wiki/Ender%27s_game"> <dc:title>Ender's game</dc:title> <dc:subject>Books</dc:subject> </rdf:Description> </rdf:RDF>
Using SPARQL, I can easily ask for all the pages that are on the subject of “comics”:
SELECT ?x FROM <http://mi-linux.wlv.ac.uk/~in9352/rdf/comics.rdf> WHERE { ?x <http://purl.org/dc/elements/1.1/subject> "Comics" }
Let’s test our query with this free SPARQL processor:
These 3 pages are definitely on the topic of “comics” => better than Google’s keyword matching algorithm!