Transcript Diapositiva 1

Linked Open Data
http://innsbruck.info
Anna Fensel, Ioannis Stavrakantonakis, Dieter Fensel
©www.sti-innsbruck.at
Copyright 2013 STI INNSBRUCK www.sti-innsbruck.at
Linked
Open Data
Linked Open Data
“The Semantic Web is a Web of Data — of […] any other data one
might conceive of. The collection of Semantic Web technologies (RDF,
OWL, SKOS, SPARQL, etc.) provides an environment where
application can query that data […]
not only does the Semantic Web need access to data, but
relationships among data should be made available […]”, by W3C*
*http://www.w3.org/standards/semanticweb/data
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Linked Open Data
http://lod-cloud.net/versions/2011-09-19/lod-cloud_colored.png
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Linked Open Data
What do we need* to publish our data as Linked Open Data?
• There must be resolvable http:// (or https://) URIs.
• They must resolve to RDF data in one of the popular RDF formats
(RDFa, RDF/XML, Turtle, N-Triples).
• The dataset must contain at least 1000 triples.
• The dataset must be connected via RDF links to a dataset that is
already in the diagram. This means, either your dataset must use
URIs from the other dataset, or vice versa. We arbitrarily require at
least 50 links.
• Access of the entire dataset must be possible via RDF crawling,
via an RDF dump, or via a SPARQL endpoint.
*http://lod-cloud.net/
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Linked Open Data
We have developed from innsbruck.info information for:
• Hotels
• Restaurants
• Cafés
in RDF
• Events
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Combining Open Data and Services – Tourist
Map Austria
• Use LOD to integrate and lookup
data about
– places and routes
– time-tables for public transport
– hiking trails
– ski slopes
– points-of-interest
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Combining Open Data and Services – Tourist
Map Austria
• Based on Open Street Map
(as e.g. implemented by
a Tyrolean region Zillertal)
• Increase on-line
visibility for hotels and
destinations via
multi-channel
communication – SCEI
• Hotels,
ski passes, etc. are
directly bookable –
seekda engine
• LOD to integrate and
lookup data about hiking
trails, ski slopes, etc.
• On the fly service
integration as you pay
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SCEI
LOD
Task – Sightseeing Annotations in RDF
• Annotate sightseeing entries from the last seminar in RDF
– You made RDF annotations for hotels using the Accommodation
ontology, for example
• Use several ontologies, such as
– RDFS version of schema.org
– Dbpedia.org
– GoodRelations
– Further ones you find on the Web and identify as relevant
• Consider building links e.g. to DBpedia
– Some entries for sightseeing entities already exist on Wikipedia
and DBpedia e.g. “Golden Roof”
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Thank you!
Questions?
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References
• EUCLID project: Chapter 3. Providing Liked Data: http://www.euclidproject.eu/modules/chapter3
• Datahub: http://datahub.io
• LOD Cloud on Datahub:
http://datahub.io/dataset?organization=lodcloud
• The LOD Cloud: http://lod-cloud.net/
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