If you couldn't attend the Webinar on Linking your resources to Data Web by Tom Baker, you have now the opportunity to listen to the recording and take a look at the slides.

The series of webinars Linked Open Data @ AIMS that consists of six webinars about the Semantic Web and Linked Open Data delivered in six different languages (Arabic, Chinese, English, French, Russian, and Spanish) was opened on the 4^th of December 2012 by Tom Baker with an English presentation entitled Linking your resources to the Data Web. The goal of the presentation was to explain how data can be linked in the Semantic Web and illustrate the RDF technology. 48 interested information management specialists from all over the world participated in this event.

The basis for making Linked Data freely available and accessible is the use of web addresses (URIs) as names that are tagged to the published resources as well as the linking of these addresses to other related resources (The URI for a specific Book A could be i.e.: http://BookA.rdf). The linking of resources is facilitated by the use of RDF triples that have a consistent and simple structure consisting of a predicate that connects a subject to an object (i.e.: http://BookA.rdf is translated by http://PersonB.rdf). Links can be installed simply by adding one triple set to other sets that include the same URIs for at least one resource.

As a recommendation, Tom Baker underlined the significance of identifying what pieces of information are most important (like the subject or the author) in order to link specific data with other data sets. Thus it is not always necessary to convert all data but rather to ensure that the data set can be discovered easily. Still, subjects should be named with URIs whenever possible. In order to guarantee the sustainability of URIs it is recommended to use already existing URIs like for example from the AGROVOC network. All these measures facilitate the identification of data sets in the Semantic Web. Following these recommendations there might be installed both direct as well as indirect links through other pages like DBpedia to the Semantic Web.