Analyzing Wikipedia Evolution using DBPedia Live Updates
- 12 cupcakes
- 5 minutes
- 25 minutes
Ingredients
- Access to DBPedia Live Update as RDF Stream
- An RSP Engine
- Knowledge About OWL and RDF
Directions
- Preheat Oven 350 degree
- In a bowl combine flour, cocoa baking powder, baking soda and salt.
- In a food processor combine butter and sugar and process until smooth. Add the eggs, 4 oz. of chocolate pieces and vanilla. Add half of the flour mixture and ½ of the milk. Process and add the other half of the flour and the remainder of the milk. Slowly, add the hot water.
- Grease and fill muffin tins to top.
- Bake 20 25 minutes or until toothpick test comes out clean.
- Let cool.
DBL was successfully used to analyze DBPedia evolution. In particular, it was used to satisfy information needs like How many entities are updated in last 5 minutes?. DBPedia live statistics is a Daily updated Web page that shows analyses like top-k entity changes.
We decided to use a RDF Stream Processor to publish DBL as a linked
stream. In particular, we make use of
YASPER [https://dblp.uni-trier.de/rec/bibtex/conf/semweb/0001CDB0VA16] to compute the aforementioned
statistics. We feed data to YASPER directly by means of an adapter that
time-stamps each triple independently. We shared the VoCaLS file of
Listing [lst:dbpedia1]{reference-type=”ref”
reference=”lst:dbpedia1”} using the RSP engine. Last but not least, we
compute simple analytics in the VoCaLS description using RSP-QL. An
RSP-QL query example that counts the top-20 most edited entities in the
last minute is presented in the following Listings.
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PREFIX dbl: <http://live.dbpedia.org/changesets/>
REGISTER RSTREAM <top20MosteditedEntities> AS
SELECT (COUNT (?entity) AS ?count) ?entity
FROM NAMED WINDOW <wa> ON dbl:added [RANGE PT1M STEP PT10S]
FROM NAMED WINDOW <wr> ON dbl:removed [RANGE PT1M STEP PT10S]
WHERE { WINDOW ?w { ?entity ?p ?o . } }
GROUP BY ?entity ORDER BY DESC(?count) LIMIT 20
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