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Linked Open Data innsbruck Anna Fensel, Ioannis Stavrakantonakis , Dieter Fensel

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Linked Open Data http://innsbruck.info Anna Fensel, Ioannis Stavrakantonakis , Dieter Fensel. Linked Open Data.

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slide1

Linked Open Data

http://innsbruck.info

Anna Fensel, Ioannis Stavrakantonakis, Dieter Fensel

slide2

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*

Open Data

Linked

*http://www.w3.org/standards/semanticweb/data

2

slide3

Linked Open Data

http://lod-cloud.net/versions/2011-09-19/lod-cloud_colored.png

3

slide4

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/

4

slide5

Linked Open Data

  • We have developed from innsbruck.info information for:
  • Hotels
  • Restaurants
  • Cafés
  • Events

in RDF

5

combining open data and services tourist map austria
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
combining open data and services tourist map austria1
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

SCEI

LOD

task sightseeing annotations in rdf
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 severalontologies, 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”
slide9

Thankyou!

  • Questions?
references
References
  • EUCLID project: Chapter 3. Providing Liked Data: http://www.euclid-project.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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