Open semantic linked data

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Le slide discusse da ronald ashri nel corso del webinar organizzato da dati.gov.it sul tema dei linked open data

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Open semantic linked data

  1. 1. OPEN, LINKED, SEMANTIC DATA AN INTRODUCTION Dr. Ronald Ashri - Istos srl http://www.istos.it
  2. 2. @ronald_istos Web App Development Travel / Semantic Web www.istos.it Technical Director www.bluespark.com
  3. 3. THE GOAL
  4. 4. connect and explore data to discover hidden patterns and create new informationnew information enables us to formulate better solutionsand identify new oportunities
  5. 5. OPEN DATAData that is freely available for everyone to access use and republish
  6. 6. OPEN PUBLIC DATAObjective, factual, non-personal data on which publicservices run and are assesed, and on which policydecisions are based, or which is collected orgenerated in the course of public service delivery(data.gov.uk)
  7. 7. GOVERMENT AS A PLATFORMAllow citizens to analyze and use data in manydifferent waysInfluence policy based on facts
  8. 8. DATA QUALITY★ Available on the web (whatever format), but with an open licence★ ★ Available as machine-readable structured data (e.g. excel insteadof image scan of a table)★ ★ ★ as (2) plus non-proprietary format (e.g. CSV instead of excel)★ ★ ★ ★ All the above plus, Use open standards from W3C (RDFand SPARQL) to identify things, so that people can point at your stuff★ ★ ★ ★ ★ All the above, plus: Link your data to other people’sdata to provide context
  9. 9. THE SEMANTIC WAYBuild ModelsExchange InformationVisualize - AnalyzeDerive new fact (calculatewith knowledge)
  10. 10. THE PROCESSBuild an ontology or vocabularyState facts about domainCorrelate facts - reduce ambiguityReason about ontologies and facts
  11. 11. ontology is a description of knowledge about a domain of interest ὸντος = that is how it is
  12. 12. arbor porhyriana Substance immaterial material Body Spirit animate inanimate Living Mineral sensitive insensitive Animal Plant rational irrational Human Beast 234AD, Tyre (Lebanon)
  13. 13. knowledge on the web is modeled using RDF, RDFsand/or the Web Ontology Language - OWL
  14. 14. RDFResource Description Framework directed labelled graph capitalOf Cagliari Sardegna subject predicate object
  15. 15. URIUniform Resource Identifiers a compact sequence of characters to identify an abstract or physical resource scheme:[//authority]path[?query][#fragment] e.g. http://www.regione.sardegna.it/uri
  16. 16. RDF + URI http://example.org/capitalOf Cagliari Sardegnahttp://www.comune.cagliari.it/uri http://www.regione.sardegna.it/uri
  17. 17. RDF + URI eg:livesIn Ronald Sicilyhttp://www.istos.it/ronald#me http://dbpedia/resource/Sicily eg:worksFor Ronald Istoshttp://www.istos.it/ronald#me http://www.istos.it/uri foaf:based_near Istos Ispica http://www.istos.it/uri http://dbpedia/resource/Ispica
  18. 18. RDF SCHEMARDF is a general way to describe structuredinformationRDF Schema extends RDF to express generalinformation about a data set Resources, Classes, Literals, Datatypes, Properties range, domain, subClassOf, subPropertyOf
  19. 19. RDFS SERIALIZATIONSN3, N-Triples, Turtle Human readable, limited software supportRDF XML takes advantage of tools to parse XMLRDFa - enables RDF to be embedded in HTML
  20. 20. EXCHANGINGINFORMATION
  21. 21. WWW 0.1the original web was thought of with ontological information at its heart http://www.w3.org/History/1989/proposal.html
  22. 22. THE PROBLEMhttp://www.w3.org/Talks/WWW94Tim/
  23. 23. THE SEMANTIC WEB
  24. 24. the semantic web provided tools butnot enough method - the linked data effort tries to rectify this
  25. 25. EXCHANGE MORE INFORMATIONTHE LINKED DATA EFFORT
  26. 26. 1. Use URIs as names for things2. Use HTTP URIs so that people can look things up3. Provide useful info using standards (Sparql)4. Include links to other URIs
  27. 27. SPARQLProtocol and RDF Query LanguageGraph pattern matching Uses RDF triples but they may be variablesThe reply is the RDF graph equivalent to thesubgraph described
  28. 28. PREFIX foaf: <http://xmlns.com/foaf/0.1/> SELECT ?name ?emailWHERE { ?person a foaf:Person. ?person foaf:name ?name. ?person foaf:mbox ?email.}endpoint: world-wide webnames and e-mails of every person in the world!
  29. 29. CARBONIA-IGLESIAS
  30. 30. ONTOLOGIAPA.ITOntologia perdescrivereDetermine,Delibere,Concorsi,Bandi, etc
  31. 31. DRUPAL 7 FOR SEMANTIC ANNOTATIONAnnotation happens inthe backgroundUser does not need tobe aware ofcomplexities
  32. 32. LOOKING AHEADTechnology and toolsare getting thereData needs to remainopenSpread the word -Annotate!
  33. 33. QUESTIONSronald@istos.it@ronald_istos

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