Abstract: The amount of structured data that is published on the Web has increased sharply over the last years. The deluge of available data calls for new search techniques which support users in finding and integrating data from large numbers of data sources. In his talk, Christian Bizer will give an overview of the different types of data search that have been proposed so far: Entity search, table search, constraint and unconstraint search joins. As an example of a system from the last category, he will introduce the Mannheim Search Join Engine which provides for executing unconstraint search joins over different types of Web data including Linked Data, Microdata, Web tables and Wikipedia tables. Bio: Christian Bizer explores questions concerning the development of global, decentralized information environments. His current research focus is the evolution of the World Wide Web from a medium for the publication of documents into a global data space. Christian Bizer has co-founded the DBpedia project which derives a comprehensive knowledge base from Wikipedia. He has initialized the WebDataCommons project which monitors the deployment of RDFa, Microdata, and Microformat data on the Web by analyzing large Web crawls. His work on Web data integration includes the Silk - Identity Resolution Framework and the Mannheim Search Join Engine. Christian Bizer holds an appointment as full professor at University of Mannheim. Before moving to Mannheim, he headed the Web-based Systems Group at Freie Universität Berlin.