Introducción a la web semántica - Linkatu - irekia 2012
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This document provides an introduction to linked data journalism and the use of semantic web technologies like RDF, SPARQL, and linked open data. It explains key concepts such as using RDF triples to represent knowledge, querying linked data with SPARQL, and examples of data sources like DBpedia and data marketplaces.
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Introducción a la web semántica - Linkatu - irekia 2012
- 1. Linkatu: Linked data journalism Irekia, Bilbao 2012
- 4. “the value of your information grows exponentially with your ability to combine it with new information” – Henry Story, Sun Microsystems
- 13. BBC and Linked Data @metade
- 22. Document Book Novel Short story
- 29. RDF is a triple model i.e. every piece of knowledge is broken down into ( subject , predicate , object )
- 30. ( doc.html , author , Fabien ) ( doc.html , theme , Music ) ( subject , predicate , object )
- 32. http://en.wikipedia.org/wiki/Lion http://dbpedia.org/page/Lion
- 33. SPARQL stands for SPARQL Protocol and RDF Query Language
- 34. SPARQL query SELECT ... FROM ... WHERE { ... }
- 35. SELECT clause to identify the values to be returned
- 36. FROM clause to identify the data sources to query
- 37. WHERE clause the triple/graph pattern to be matched against the triples/graphs of RDF
- 38. WHERE clause a conjunction of triples: { ?x rdf:type ex:Person ?x ex:name ?name }
- 39. PREFIX to declare the schema used in the query
- 40. example persons and their names PREFIX ex: <http://inria.fr/schema#> SELECT ?person ?name WHERE { ?person rdf:type ex:Person ?person ex:name ?name . }
- 41. Example of result <?xml version="1.0"?> <sparql xmlns="http://www.w3.org/2005/sparql-results#" > <head> <variable name="person"/> <variable name="name"/> </head> <results ordered="false" distinct="false"> <result> <binding name="person"> <uri>http://inria.fr/schema#fg</uri> </binding> <binding name="name"> <literal>gandon</literal> </binding> </result> <result> ...
- 42. FILTER to add constraints to the graph pattern (e.g., numerical like X>17 )
- 43. example persons at least 18-year old PREFIX ex: <http://inria.fr/schema#> SELECT ?person ?name WHERE { ?person rdf:type ex:Person ?person ex:name ?name . ?person ex:age ?age . FILTER (?age > 17) }
- 47. what is a “data market place" ? Service that make it easy to find data from a range of secondary data sources, then consume the data in a usable and unified format. Several of these services are trying to create marketplaces for data, envisioning that data providers can offer their data sets for sale to data seekers
- 48. what is a "platform" ? a place where we encourage... support... enable... our communities
- 49. You own the data You control access You can pull it/change it You can delete it You can decide what is best