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

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

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

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

  2. 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

  3. Linked Open Data http://lod-cloud.net/versions/2011-09-19/lod-cloud_colored.png 3

  4. 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

  5. Linked Open Data • We have developed from innsbruck.info information for: • Hotels • Restaurants • Cafés • Events in RDF 5

  6. 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

  7. 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

  8. 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”

  9. Thankyou! • Questions?

  10. 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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