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

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“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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Link

ed

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Linked Open Data

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

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Linked Open Data

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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

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We have developed from innsbruck.info information for:

• Hotels

• Restaurants

• Cafés

• Events

in RDF

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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

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• 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

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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.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/