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Publishing and Interacting with Linked Data

Publishing and Interacting with Linked Data. Roberto Garcia, Josep Maria Brunetti, Antonio López-Muzás, Juan Manuel Gimeno, Rosa Gil WIMS ’ 11 Conference, May 25 th 2011, Sogndal, Norway. HCI & Data Integration Research Group Universitat de Lleida, Spain. Overview.

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Publishing and Interacting with Linked Data

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  1. Publishing and Interacting with Linked Data Roberto Garcia, Josep Maria Brunetti, Antonio López-Muzás, Juan Manuel Gimeno, Rosa Gil WIMS’11 Conference, May 25th 2011, Sogndal, Norway HCI & Data Integration Research Group Universitat de Lleida, Spain

  2. Overview • RhizomerPlatform for Linked Data publishing (also Semantic Data) • Data access • Read (LinkedData / SPARQL) • Write (Semantic FORMS + HTTP PUT/POST/DEL) • Data sources • Jena (File, MySQL, Postgres), Virtuoso, OWLIM,… • Interaction • Overview: Navigation bars • Filter: Facets • Details: HTML+RDFa, Interaction Web Services (map, timeline,…) WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  3. Architecture • Server part: • REST interface over repository • GET: URI (LinkedData) or SPARQL Query • PUT/POST/DELETE: data management edit search delete new GET PUT POST DEL Rhizomer MetadataStore WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  4. Architecture • Scope of GET operations: • Concise Bounded Description (CBD) + rdfs:labels for all selected resources • Scope of POST/PUT/DEL operations: • Concise Bounded Description • DESCRIBE queries by default • Facilitate browsing heterogeneous data • Without a priori knowledge WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  5. Architecture • DESCRIBE http://rhizomik.net/~rosa: CBD(…~rosa) = Fragment A Urdfs:labels Fragment A WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  6. Architecture <s5t:Audio rdf:about="http://www.segre.com/audio/20070323-bm.mp3">      <dc:title>Butlletí Migdia</dc:title>      <dc:date>2007-03-23</dc:date>      <s5t:genre rdf:resource="&srs;11000000"/>      <s5t:transcriptResource>http://www.segre.com/audio/20070323-bm.xml       </s5t:transcriptResource> </srt:Audio> RDF2HTML GET  RDF2HTML WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  7. Interacting • Until now, Rhizomer like other Linked Data publishing tools… • HTML+RDFa and content negotiation • Useful for computers, but also for human users? • User tests: • Typical questions: • Where do I start? • Where do I go now? • What is this data about? • What do we offer? • Text search, type URI, SPARQL query,… …but they do not answer end-users needs WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  8. Interacting • Example: What to do with DBPedia? • 3.5 million things described • Ontology: 257 classes y 1276 properties WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  9. Interacting • DBPedia main page does not provide too many clues... WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  10. Interacting • SPARQL Endpoint: • select distinct(?c) (count(?i) as ?n) where {?i a ?c} order by desc(?n) WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  11. Interacting • Simple search • What to type? • A URI? URI label? • … WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  12. Interacting • Advanced search: • iSparql WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  13. Information Architecture • Proposal: adapt data interaction patterns [Shneiderman] and Information Architecture components [Morville] • Data structure: automate IA components • Scalable, dataset independent • Interaction Patterns / IA Components • Overview --> navigation bars, site map • Main classes (topics) and their organisation • Zoom & Filter--> facets, breadcrums • Main properties and values, filter • Details --> HTML view, Object-Action Paradigm WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  14. AI Components Navigation Bars • Get hierarchical structure for dataset ontologies • For each class • URI • Label • # instances • Subclasses list • Flatten to desired # levels and elements / level • Classes and namespaces whitelist and blacklist • Algorithm: • When there is room, divide class with most instances • When too many options, group classes with less instances WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  15. AI Components Navigation Bars 7 elements in “Species” submenu: WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  16. AI Components Navigation Bars WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  17. AI Components Navigation Bars WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  18. AI Components Navigation Bars WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  19. AI Components Navigation Bars WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  20. AI Components Navigation Bars WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  21. AI Components Navigation Bars Navigation bar provides overview for DBPedia… …but what to do with 12.334 birds now? WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  22. AI Components Facets • Pre-compute list of facets for each class • Properties used in dataset instances descriptions • Facet metrics: frequency, #different values, more common value cardinality, entropy,… • DBPedia Birds case: •  http://dbpedia.org/ontology/Bird 12334 instances • 226 different properties • http://dbpedia.org/ontology/kingdom, 100%, 3 values, 6846 (Animalia),… • User unfolds facet, show 5 +common values • Filter, get more… WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  23. AI Components Facets WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  24. Property Entropy Value Instances hasFlavor 0.918434 Moderate 28 Strong 15 Delicate 10 hasSugar 0.556416 Dry 43 Sweet 6 OffDry 4 AI Components Facets • Order facets by "utility” (work in progress): • Prefer common properties, high frequency • For values cardinality, discard extreme cases:  • Just 1 value for the property • All different values, i.e. max. value cardinality = 1 • Prefer properties that evenly divide results, higher entropy Wine (Wine Ontology) WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  25. InteractionObject-Action WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  26. InteractionObject-Action • Given a resource (object)…determine available services (actions) • Services descriptions: • endPoint: service location • hasInput: ASK SPARQL Query Template • Service applicable to any resource ASK is true • hasOutput: output content type WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  27. InteractionObject-Action WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  28. Conclusions • Navigation menus  • dataset classes (topics) overview • Facets  • per class properties and values overview, filter • Details  • Generic view (HTML) + specific (map, timeline…) • Users build queries without SPARQL or dataset structure knowledge WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  29. Future Work • Facets: • type dependent facets (number ranges, dates,…), inverse properties, facets for facet values,… • Other IA components: sitemap, breadcrumbs,… • Assisted metadata edition • Recommend properties and values based on available ontologies and values • More interaction services • Calendar • Plot… WIMS’11 Conference, May 25th 2011, Sogndal, Norway

  30. Thank you for your attention More details: http://rhizomik.net/rhizomer Contact: Roberto Garcia (roberto@rhizomik.net) HCI & Data Integration Research Group Universitat de Lleida, Spain

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