Linked Open Data http innsbruck info Anna Fensel

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 W 3 C* *http: //www. w 3. org/standards/semanticweb/data www. sti-innsbruck. at 2

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

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/ www. sti-innsbruck. at 4

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

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 www. sti-innsbruck. at 6

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 www. sti-innsbruck. at SCEI 7 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 – Good. Relations – 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. euclidproject. eu/modules/chapter 3 • Datahub: http: //datahub. io • LOD Cloud on Datahub: http: //datahub. io/dataset? organization=lodcloud • The LOD Cloud: http: //lod-cloud. net/ www. sti-innsbruck. at