www.sti-innsbruck.at © Copyright 2013 STI INNSBRUCK www.sti-innsbruck.at

Linked Open Datahttp://innsbruck.info

Anna Fensel, Ioannis Stavrakantonakis, Dieter Fensel

www.sti-innsbruck.at

Linked Open Data

2

“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

Ope

n D

ata

Link

ed

www.sti-innsbruck.at

Linked Open Data

3

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

www.sti-innsbruck.at

Linked Open Data

4

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/

www.sti-innsbruck.at

Linked Open Data

5

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

in RDF

www.sti-innsbruck.at

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

6

www.sti-innsbruck.at

Combining Open Data and Services – Tourist Map Austria

7

• 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

LODSCEI

www.sti-innsbruck.at

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”

www.sti-innsbruck.at

Thank you!

Questions?

www.sti-innsbruck.at

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/