The web of linked data: a global public dataspace on the web

In 2005, Michael Franklin, Alon Halevy, and David Maier coined the term dataspaces as a new abstraction and target architecture for data management. In 2006, Tim Berners-Lee introduced the Linked Data principles a set of best practices for publishing and interlinking structured data on the Web in accordance with the general architecture of the Web. These two lines of thinking have come together and are realized in the Web of Linked Data - a global public dataspace. The Web of Linked Data was kick started by the W3C Linking Open Data community effort in 2007. Today, the Web of Linked Data consists of hundreds of datasets published by universities, companies, government and public sector bodies, as well as by individual Web enthusiasts. The content of the Web of Linked Data is diverse in nature, comprising data about people, organizations, products, geographic locations, books, scientific publications, films, music, television and radio programs, genes, proteins, drugs and clinical trials, online communities, statistical data, census results, and reviews. In addition to publishing and interlinking datasets, there is intensive work on Linked Data browsers, Web of Linked Data search engines and other applications that consume Linked Data from the Web. In his talk, Christian Bizer will introduce the principle ideas behind Linked Data and relate them to the dataspace architecture. Afterwards, he will give an overview of the identity resolution and pay-as-you-go data integration techniques that are currently used in the context of the Web of Linked Data and will explain the state-of-the-art in applications that consume Linked Data from the Web.