Rio info 2013 - Linked Data at Globo.com
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Brainiak is a new semantic data management platform being developed by Globo to address problems with their legacy linked data architecture. It features a RESTful API to access and manage semantic data. This decouples applications from the triplestore and improves performance. Brainiak will enable Globo to enrich search, improve annotation and content relationships, and link data to external sources like DBPedia. It has the potential to enhance the user experience on Globo's websites.
Rio info 2013 - Linked Data at Globo.com
- 1. Linked Data at Tatiana Al-Chueyr Martins tatiana.martins@corp.globo.com @tati_alchueyr 18 de setembro de 2013, Simpósio Rio Info globo.com
- 2. BROADCAST MOVIES PAY TV INTERNET EVENTS MUSIC PUBLISHING NEW VENTURES NEWSPAPERRADIO NETWORK
- 3. Andréia Bustamante Ícaro Medeiros Tatiana Al-Chueyr Rodrigo Senra Semantic Team
- 5. MotivationNot only words São Paulo
- 6. MotivationNot only words São Paulo?
- 7. MotivationNot only words São Paulo state
- 8. MotivationNot only words São Paulo city
- 9. MotivationNot only words São Paulo saint
- 10. MotivationNot only words São Paulo soccer team
- 11. MotivationMultiple words for the same thing Female f F female woman ...
- 12. MotivationMultiple words for the same thing http://data.globo.com/female
- 13. Motivation Soccer player Cross-link content from different web products
- 14. Politician MotivationCross-link content from different web products
- 15. Celebrity Motivation ● Cross-link content from different web products MotivationCross-link content from different web products
- 16. Isabella Nardoni foi morta em 29 de março de 2008 na Zona Norte de São Paulo (Foto:Reprodução) Isabella de Oliveira Nardoni, de 5 anos, foi morta na noite de 29 de março de 2008. A perícia concluiu que a menina foi atirada do sexto andar do prédio onde moravam seu pai, Alexandre Nardoni, sua madrasta, Anna Carolina Jatobá, e dois filhos pequenos do casal, na Vila Isolina Mazzei, na zona norte de São Paulo. Túmulo de Isabella vira local de visitação em SP; casal Nardoni está preso. Caso Isabella Nardoni Juliana Cardilli G1 SP RDF FOAF GEO Dublin Core SKOS Semantic markup in web pages Motivation
- 17. Recommend annotations to information Producer Motivation
- 18. Suggest related content to information Consumer Motivation
- 19. Suggest related content to information Consumer Motivation
- 20. Suggest related content to information Consumer Motivation
- 21. Changes ● Replacement of words by entities http://data.globo.com/person/Person/santos_dumont
- 22. Changes ● Replacement of labels by qualified relationships
- 23. Changes ● Organize data from tables to graphs
- 24. Outcomes ● To replace words by entities improved: ○ Finding ○ Linking ○ Reconciling ○ Organizing multiple layers of information
- 25. Outcomes ● Flexible ways to organize content ● Ease to find related issues ● Explicit relations derived from annotated content ● Up-to-date topic pages with little editorial effort ● Linking content across different web products ● Seamless navigation leading to flow state
- 26. Status Quo Used by the main web products of Globo.com: ○ 18,485 organizations ○ 83,000 people ○ 9,129 places ○ 1,000,000+ annotated news Which sum up 2,500,000+ entities! from August 2010 to May 2013
- 30. Poor data management ○ direct access to triple store (unmanaged) ○ difficulty to share data (distributed DBs) ○ re-sync triple-store and search engine index ○ scalability of triple store ○ high entropy in distributed ontology engineering Problems
- 31. Problems
- 32. Ontology Engineering Domain-driven (current) Base G1 GE EGO TVG news sports gossip tv Upper Person Organization Music Politics Programme Education Sports Product-driven (past) Place
- 34. Semantic as a library ○ many different versions in production ○ programming language dependent ○ steep learning curve for RDF/OWL/SPARQL Problems
- 35. Create an open semantic data management platform ● Scalable ● Mobile and Web friendly ● Interconnect Globo's data with external data sources ● Automate content extraction (including NER) Solution
- 39. Requirements ● Indirect usage of SPARQL ● Programming language independent ● Data management with quality ● Finer-grained authorization and authentication ● Isolate applications from triplestore ● Improve triplestore performance
- 40. SPARQL query DEFINE input:inference <http://data.globo.com/ruleset> SELECT ?uri ?label FROM <http://data.globo.com/sports/> WHERE { ?uri a <http://data.globo.com/sports/Team>; rdfs:label ?label . } LIMIT 10 OFFSET 0 task: list all sports teams
- 42. SPARQL response
- 44. SPARQL query SELECT DISTINCT ?class WHERE { <http://data.globo.com/place/City> rdfs:subClassOf ?class OPTION (TRANSITIVE, t_distinct, t_step('step_no') as ?n, t_min (0)) . ?class a owl:Class . } task: retrieve all superclasses of a class
- 45. SPARQL query SELECT DISTINCT ?predicate ?predicate_graph ?predicate_comment ?type ?range ?title ?range_graph ?range_label ?super_property WHERE { { GRAPH ?predicate_graph { ?predicate rdfs:domain ?domain_class } . } UNION { graph ?predicate_graph {?predicate rdfs:domain ?blank} . ?blank a owl:Class . ?blank owl:unionOf ?enumeration . OPTIONAL { ?enumeration rdf:rest ?list_node OPTION(TRANSITIVE, t_min (0)) } . OPTIONAL { ?list_node rdf:first ?domain_class } . } FILTER (?domain_class IN (<http://data.globo.com/place/City>, <http://data.globo.com/place/GeopoliticalDivision>, <http://data.globo.com/place/Place>, <http://data.globo. com/upper/Object>, <http://data.globo.com/upper/Substance>, <http://data.globo.com/upper/ConcreteEntity>, <http://data.globo.com/upper/Entity>)) {?predicate rdfs:range ?range .} UNION { ?predicate rdfs:range ?blank . ?blank a owl:Class . ?blank owl:unionOf ?enumeration . OPTIONAL { ?enumeration rdf:rest ?list_node OPTION(TRANSITIVE, t_min (0)) } . OPTIONAL { ?list_node rdf:first ?range } . } FILTER (!isBlank(?range)) ?predicate rdfs:label ?title . ?predicate rdf:type ?type . OPTIONAL { ?predicate rdfs:subPropertyOf ?super_property } . FILTER (?type in (owl:ObjectProperty, owl:DatatypeProperty)) . FILTER(langMatches(lang(?title), "en") OR langMatches(lang(?title), "")) . OPTIONAL { ?predicate rdfs:comment ?predicate_comment } FILTER(langMatches(lang(?predicate_comment), "en") OR langMatches(lang(?predicate_comment), "")) . OPTIONAL { GRAPH ?range_graph { ?range rdfs:label ?range_label . FILTER(langMatches(lang(?range_label), "en") OR langMatches(lang(?range_label), "")) . } } } task: retrieve all properties of a group of classes
- 46. SPARQL query SELECT DISTINCT ?predicate ?min ?max ?range ?enumerated_value ?enumerated_value_label WHERE { <http://data.globo.com/place/City> rdfs:subClassOf ?s OPTION (TRANSITIVE, t_distinct, t_step('step_no') as ?n, t_min (0)) . ?s owl:onProperty ?predicate . OPTIONAL { ?s owl:minQualifiedCardinality ?min } . OPTIONAL { ?s owl:maxQualifiedCardinality ?max } . OPTIONAL { { ?s owl:onClass ?range } UNION { ?s owl:onDataRange ?range } UNION { ?s owl:allValuesFrom ?range } OPTIONAL { ?range owl:oneOf ?enumeration } . OPTIONAL { ?enumeration rdf:rest ?list_node OPTION(TRANSITIVE, t_min (0)) } . OPTIONAL { ?list_node rdf:first ?enumerated_value } . OPTIONAL { ?enumerated_value rdfs:label ?enumerated_value_label . } . } } } task: retrieve the cardinalities of all properties of a certain class
- 48. ● Enrich Globo.com search ● SEO (automatic schema.org) ● Improve annotator (DBpedia Spotlight) ● Richer content relationships (inference) ● Link to open data (e.g. DBPedia, dados.gov.br) Next steps
- 49. Stay tuned @brainiak_api ... will be soon released as an open source project !