Big Linked Data - Creating Training Curricula

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This presentation includes an overview of the basic rules to follow when developing training and education curricula for Linked Data and Big Linked Data

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Big Linked Data - Creating Training Curricula

  1. 1. Big Linked Data Presented by: Barry Norton, Ontotext AD
  2. 2. Aims for curriculum 1.Show realistic solutions 2.Use real data 3.Use real tools 4.Show scalable solutions 5.Eat the dog’s food EUCLID – a Curriculum for Big Linked Data 2
  3. 3. Realistic SolutionApplication Analysis & Visualization RDFa Module Mining ModuleAccess SPARQL Endpoint PublishingLD Dataset Vocabulary Integrated Interlinking Cleansing Mapping Dataset Physical Wrapper LD Wrapper R2R Transf. LD WrapperData acquisition RDF/ XML Streaming providers Downloads Musical Content Metadata Other content EUCLID – a Curriculum for Big Linked Data 3
  4. 4. Real Data• No pizza EUCLID - Providing Linked Data 4
  5. 5. Real Data• No pizza • No wine EUCLID - Providing Linked Data 5
  6. 6. Real Data• No pizza • No wine• No Protégé EUCLID - Providing Linked Data 6
  7. 7. Real Data• MusicBrainz dataset:• Music Ontology: EUCLID - Providing Linked Data 7
  8. 8. Real Tools• Admitted simple start • Industry-strength by Module 2 EUCLID – a Curriculum for Big Linked Data 8
  9. 9. Real Tools• All tools explained by screencast EUCLID – a Curriculum for Big Linked Data 9
  10. 10. Real Tools• All tools explained by screencast Explains how Exercise 1 was created EUCLID – a Curriculum for Big Linked Data 10
  11. 11. Real Tools• The data of interest may be stored in a wide range or formats: Spreadsheets Databases Text or tabular data• Several tools support the process of mining data from different repositories, for example: R2RML EUCLID – a Curriculum for Big Linked Data 11
  12. 12. Scalable Solutions• MusicBrainz RDF derived via R2RML: 300M Triples lb:artist_member a rr:TriplesMap ; rr:logicalTable [rr:sqlQuery """SELECT a1.gid, a2.gid AS band FROM artist a1 INNER JOIN l_artist_artist ON a1.id = l_artist_artist.entity0 INNER JOIN link ON l_artist_artist.link = link.id INNER JOIN link_type ON link_type = link_type.id INNER JOIN artist a2 on l_artist_artist.entity1 = a2.id WHERE link_type.gid=5be4c609-9afa-4ea0-910b-12ffb71e3821"""] ; rr:subjectMap [rr:template "http://musicbrainz.org/artist/{gid}#_"] ; rr:predicateObjectMap [rr:predicate mo:member_of ; rr:objectMap [rr:template "http://musicbrainz.org/artist/{band}#_" ; rr:termType rr:IRI]] . EUCLID – a Curriculum for Big Linked Data 12
  13. 13. Dog Food• EUCLID output, topics and engagement monitored public-lod public-vocabs semantic-web EUCLID – a Curriculum for Big Linked Data 13
  14. 14. Dog Food• EUCLID output, topics and engagement monitored public-lod • Offered as public SPARQL endpoint public-vocabs semantic-web EUCLID – a Curriculum for Big Linked Data 14
  15. 15. Dog Food• EUCLID output, topics and engagement monitored public-lod • Offered as public SPARQL endpoint public-vocabs semantic-web • Will be used as basis of analysis examples EUCLID – a Curriculum for Big Linked Data 15
  16. 16. Results• Achieving ~100 live viewers:• Set to exceed 1000 post hoc views /channel (Webinar platform, Vimeo, Slideshare): EUCLID – a Curriculum for Big Linked Data 16
  17. 17. For exercises, quiz and further material visit our website: http://www.euclid-project.eu eBook CourseOther channels: @euclid_project EUCLID project EUCLIDproject EUCLID – a Curriculum for Big Linked Data 17

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