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. ToC
• Introduction
• El Viajero as Provenance-Aware LD Application
• D
Demo
• Future work

3. ToC
• Introduction
• El Viajero as Provenance-Aware LD Application
• D
Demo
• Future work

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)
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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.
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6. ToC
• Introduction
• El Viajero as Provenance-Aware LD Application
• D
Demo
• Future work

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.
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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
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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”.
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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)
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11. Exploitation examples
Travel guide viewer
and browser
Quick search interface
Quick search interface
Available at:
http://webenemasuno.linkeddata.es/
http://webenemasuno linkeddata es/
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12. DEMO
http://webenemasuno.linkeddata.es/

13. Browser
Initial screen
Selecting a type of resource,
we will see all of the available
resources on the map
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14. Guide Browsing
Pubby
frontend
More images of Link to the news in
the guides “El Viajero”
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15. Guide Browsing
More images of
the guides
15

16. Year filtering
Plugin selection Year selection
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17. Trip Browsing
Itinerary followed
Trip metadata
in the trip
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18. Timeline
Trip timeline Trip features
p
(drawn from its (price, duration,
provenance information) type, etc)
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19. Quick search ‐ Author
Guides
Reference to
locations
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20. ToC
• Introduction
• El Viajero as Provenance-Aware LD Application
• D
Demo
• Future work

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
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23. 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