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A Provenance-Aware Linked Data Application for Trip Management and Organization

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A Provenance-Aware Linked Data Application for Trip Management and Organization, presented at the Triplification Challenge, I-Semantics 2011.

We present, an application for exploiting, managing and organizing Linked Data in the domain of news and blogs about travelling. El Viajero makes use of several heterogeneous datasets to help users to plan future trips, and relies on the Open Provenance Model for modelling the provenance information of the resources.

A Provenance-Aware Linked Data Application for Trip Management and Organization, presented at the Triplification Challenge, I-Semantics 2011.

We present, an application for exploiting, managing and organizing Linked Data in the domain of news and blogs about travelling. El Viajero makes use of several heterogeneous datasets to help users to plan future trips, and relies on the Open Provenance Model for modelling the provenance information of the resources.

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A Provenance-Aware Linked Data Application for Trip Management and Organization

  1. 1. A Provenance-Aware Linked Data Application for Trip Management and Organization Daniel Garijo, Boris Villazón-Terrazas, Oscar Corcho Villazón Terrazas, Ontology Engineering Group Laboratorio de Inteligencia Artificial Departamento de Inteligencia Artificial Facultad de Informática Universidad Politécnica de Madrid http://ww.oeg-upm.net {dgarijo,bvillazon,ocorcho}@fi.upm.es
  2. 2. ToC • Introduction • El Viajero as Provenance-Aware LD Application • D Demo • Future work
  3. 3. ToC • Introduction • El Viajero as Provenance-Aware LD Application • D Demo • Future work
  4. 4. Introduction ‐ Scenario “El Viajero” platform • Scenario in the context of tourism and travelling where the content is Scenario in the context of tourism and travelling, where the content is  aggregated from different platforms, such as “Suplemento El País”, ”Guías  Aguilar”, “Canal Viajar” o “Prisa Digital”. • Heterogeneous content (images, travel guides, posts, videos, news) with  different sources and from people with different profiles (journalists, bloggers  and normal users) 4
  5. 5. Introduction – Provenance • Users want to know where does the information come from, who has  manipulated it and which references have been used. •PProvenance information is critical to determine whether a resource can be  i f i i ii l d i h h b trusted or not. • “Provenance of a resource is a record that describes entities and processes Provenance of a resource is a record that describes entities and processes  involved in producing and delivering or otherwise influencing that resource”  (W3C Provenance Incubator Group). • Open Provenance Model. • Popular provenance model centered in the evolution of the resources.  • Close to PIL (Provenance Interchange Language), currently being developed  in the W3C. 5
  6. 6. ToC • Introduction • El Viajero as Provenance-Aware LD Application • D Demo • Future work
  7. 7. Modelling Ontology network • OPM (1): – Centered in the description of  the evolution of the resource. • OPM profile (2): – OPM Extension to our specific  domain. SIOC MPEG 7 MPEG‐7 GEO 3 • SIOC (3): ( ) – Describes the social  relationships in the platforms,  OPM extension to our domain 2 plus posts and blogs. • MPEG 7 (3): MPEG‐7 (3): OPM Core 1 – Image and video description. • GEO (3): – Localization of the resources. 7
  8. 8. Overview of the architecture User/content provider Application PARSERS Post Blog  Parser Parser Send/receive HTTP  HTTP  HTTP IPTC  XML  GET POST Parser Parser Request Request (SPARQL query) Insert processed Receive request Send response data Insert XML data Annotation interface REST API Store in the  repository RDF response OWL Model d l SPARQL request Repository 8
  9. 9. Linking • SILK has been used to: h b d • Link resources to DBpedia through gelocation • Link resources to GeolinkedData through geolocation SILK • Link resources to LUF (Linked User Feedback). • Guide & travel recommendation (ongoing work) • Link travel guides to hotels and restaurants of “Guía Santillana”. 9
  10. 10. Exploitation map4rdf: • Google maps viewer of RDF resources Google maps viewer of RDF resources • Resources with spatial information • Extensible with google plugins • Used in other applications like Aemet GeolinkedData Goodrelations Used in other applications like Aemet, GeolinkedData, Goodrelations El Viajero: • Extension of map4rdf to our domain. p • New queries for browsing resources • Image addition • Filtering and time‐line plugins … Additional exploitation:  • Resource searcher using the dataset. • LARKC d LARKC demo (ISOCO) http://contextmanager.isoco.net/webn1/demolarkc/ (ISOCO) 10
  11. 11. Exploitation examples Travel guide viewer  and browser Quick search interface Quick search interface Available at: http://webenemasuno.linkeddata.es/ http://webenemasuno linkeddata es/ 11
  12. 12. DEMO http://webenemasuno.linkeddata.es/
  13. 13. Browser Initial screen Selecting a type of resource,  we will see all of the available  resources on the map  13
  14. 14. Guide Browsing Pubby frontend More images of  Link to the news in  the guides “El Viajero” 14
  15. 15. Guide Browsing More images of  the guides 15
  16. 16. Year filtering Plugin selection Year selection 16
  17. 17. Trip Browsing Itinerary followed Trip metadata in the trip 17
  18. 18. Timeline Trip timeline Trip features p (drawn from its (price, duration,  provenance information) type, etc) 18
  19. 19. Quick search ‐ Author Guides Reference to locations 19
  20. 20. ToC • Introduction • El Viajero as Provenance-Aware LD Application • D Demo • Future work
  21. 21. Future work • Insert new data dynamically into the repository, from the trips made by the  users (ongoing work) • Link to other datasets in the cloud Link to other datasets in the cloud • Metereological data • Other hotels/restaurants out of Spain • Enhance place descriptions from datasets like DBpedia. Enhance place descriptions from datasets like DBpedia. • Adapt other travelling sites like TripAdvisor. p g p 21
  22. 22. A Provenance-Aware Linked Data Application for Trip Management and Organization Daniel Garijo, Boris Villazón-Terrazas, Oscar Corcho Villazón Terrazas, Ontology Engineering Group Laboratorio de Inteligencia Artificial Departamento de Inteligencia Artificial Facultad de Informática Universidad Politécnica de Madrid http://ww.oeg-upm.net {dgarijo,bvillazon,ocorcho}@fi.upm.es

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