© Copyright 2013 STI INNSBRUCK Linked Open Data Anna Fensel, Ioannis Stavrakantonakis, Dieter Fensel

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* * Open Data Linked

Linked Open Data 3

Linked Open Data 4 What do we need* to publish our data as Linked Open Data? There must be resolvable (or 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. *

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

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

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

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”

Thank you! Questions?

References EUCLID project: Chapter 3. Providing Liked Data: project.eu/modules/chapter3 Datahub: LOD Cloud on Datahub: The LOD Cloud: