Riding the Semantic Web
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1. The document discusses the Semantic Web and how publishing structured data using technologies like RDF and SPARQL allows machines to understand information and make connections between different data sources. 2. It describes the Archipel research project which uses Semantic Web technologies like RDF and SPARQL Views to interconnect distributed cultural heritage data and provide new ways to access and combine the data. 3. Participating in the Semantic Web can open up new business opportunities by enabling novel ways of combining and sharing data between organizations.
Riding the Semantic Web
- 1. Riding the Semantic Web Matthias Vandermaesen
- 2. O hi! Matthias Vandermaesen
- 3. Drupal Ninja
- 5. @netsensei
- 9. Why you should participate too
- 10. The Semantic Web
- 11. What is the Semantic Web? A group of technologies
- 12. Bringing meaning - “semantics” - to information
- 13. Allows applications to “understand” information And make connections (cross references,...)
- 14. Automagically For humans first Combine, share and find more easily
- 15. The “old” web
- 16. The “old” web HTML only describes structure of documents
- 17. HTML links documents not data
- 18. Data is ... human understandable ...
- 19. ... but not machine understable We can't do really cool stuff with it
- 20. Cool stuff Search engines Yahoo, Google, Bing
- 21. Enriched search results with relevant information Connect datasources Public transport timetables vs Google Maps
- 22. Compare prices on different webshops
- 23. Moviereviews on imdb.com vs. Your local theatre
- 24. ... Connect people on social networks Facebook, Twitter, LinkedIn,...
- 25. How do we “get on” the semantic web?
- 26. Publishing “semantic” content Make information machine understandable... ... so they “know” what data they process
- 27. ... and can respond to that data We have to format information With a semantic markup language Publish information in an accessible way Accessible to machines Machines? Browser, Search Engines, Calendars, Cars,...
- 29. Publishing “semantic” content Using technologies such as: RDF : Resource Description Framework RDFa : RDF in Attributes OWL : Web Ontology Language
- 30. XML : eXtensible Markup Language
- 31. SPARQL : SPARQL Protocol and RDF Query Language
- 32. RDF 1-on-1 Everything can be represented as a resource
- 33. URI's uniquely name resources on the web Persons, Events, Autoparts, Departements,... Netsensei Namespace: xmlns:sensei = http://www.netsensei.nl URI = http://www.netsensei.nl#me CURIE = sensei:me
- 34. RDF 1-on-1 Netsensei sensei:me Properties: Foaf:name Foaf:birthday Foaf:mbox A resource can have properties
- 35. Those properties tell something about the resource
- 36. What is “FOAF” Friend-of-a-friend
- 37. Machinereadable ontology A formal representation of knowledge
- 38. Provides a shared vocabulary Allows you to describe persons, their activities & their relations
- 40. FOAF URI references the FOAF Spec
- 41. Foaf: is the namespace prefix for foaf CURIE's
- 42. RDF 1-on-1 You can create “triples” with URI's
- 44. <subject> <predicate> <object> <sensei:me> foaf:name “Matthias Vandermaesen” <sensei:me> foaf:name “ [email_address] ” <sensei:me> foaf:birthday “11.08.1981”
- 45. RDF 1-on-1 Describe relations between objects <foaf:knows> sensei:me buytaert:dries
- 46. RDF 1-on-1 Triples create graphs
- 47. Publishing semantic content Repositories with RDF modelled data Also called 'triple stores'
- 48. http://en.wikipedia.org/wiki/Triplestore Embedded in your XHTML Using RDFa
- 49. Examples: blogposts, comments, users, newsarticles, moviereviews, calendarevents, books, hardwareparts, plants, zoo-animals,...
- 50. Publishing Semantic Content Drupal 7 makes it really easy RDFa in Core
- 51. Mapping of entities vs. RDF namespaces
- 52. Automagically embed RFDa in your content
- 54. Linked data Semantic data is distributed Not contained within a single datastore
- 56. Through shared vocabularies The web becomes a federated graph The Giant Global Graph – TBL
- 57. Linked Open Data Linked data which is open for anyone to use http://linkeddata.org/
- 58. Riding the Semantic Web
- 59. Riding the semantic web SPARQL SPARQL Protocol and RDF Query Language
- 61. Allows you to travel through RDF graphs and retrieve/filter information
- 63. SPARQL A SPARQL Query Triple pattern matching
- 64. Travel through a graph and fetch federated data You can query A set of RDFa marked documents
- 65. A triple store Through a SPARQL endpoint
- 67. Wikipedia in a triple store
- 68. Allows advanced querying Beyond full text search based on keywords
- 69. Datamining Through a SPARQL endpoint http://dbpedia.org/snorql/
- 70. Example query (don't be scared!) PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX xsd: <http://www.w3.org/2001/XMLSchema#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> ...... SELECT DISTINCT ?name, ?homepage WHERE { ?game rdf:type <http://dbpedia.org/ontology/Game> . ?game foaf:name ?name . ?game foaf:homepage ?homepage }
- 72. Archipel IWT funded Research project
- 73. Common platform for heritage institutes Enhance accessibility to digitized objects
- 74. Pictures, movies, audio, documents,... Shared repository interlinks distributed data
- 77. Archipel
- 78. SPARQL Views module SPARQL Queries in Drupal
- 79. Leverages the Views module
- 80. Allows us to use Drupal API's topside... Theming layer, blocks,... ... while using RDF API's on the bottom The RDFx library Experimental! http://drupal.org/project/SPARQL_Views
- 81. Toneelstof A subproject of VTi
- 82. History of Performing Arts in the Low Countries '60, '70, '80, '90 Through interviews with actors, writers, directors,...
- 83. How? Data comes from the VTi
- 84. Stored in the Shared repository (Linked Open Data)
- 85. Retrieved and rendered with SPARQL Views
- 87. The SemWeb is already here! Facebook: Open Graph protocol Everyone can publish/parse OG formatted content
- 88. “Like” button
- 89. Already in Drupal 7 IMDB (Dublin Core)
- 91. Chicken or egg paradox So, why isn't everyone on the SemWeb? Most tools are still experimental
- 92. Data makes the SemWeb interesting
- 93. People just don't know about it Chicken or egg Businesses are not inclined to get on the SemWeb
- 94. Without business models, the SemWeb will not take off
- 95. Why should you join? New ways of combining data
- 96. Spawn new business models
- 97. New ways to foster coöperation between partners
- 98. Faster/Easier development When you face distributed data access Public sector: open up your data!! http://data.gov.uk
- 100. ...
- 101. Thank you! http://drupal.org/project/SPARQL_Views
- 105. http://www.krimson.be (Riding the SemWeb) Flickr CC: vegaseddie // puliarfanita // mrlins