The advances in information extraction, machine learning, and natural language processing have led to the creation of large knowledge bases (KBs) from Web sources. Notable endeavors in this direction include Wikipedia-based approaches (such as YAGO, DBpedia, and Freebase), systems that extract from the entire Web (such as NELL and PROSPERA) or from specic domains (such as Rexa), and open information extraction approaches (TextRunner, PRISMATIC). This trend has led to new applications that make use of semantics. Most prominently, all major search engine providers (Yahoo!, Microsoft Bing, and Google) nowadays experiment with semantic tools. The Semantic Web, too, benefits from the new approaches.

With this year’s workshop, we would like to resume the positive experiences from two previous workshops: AKBC-2010 and AKBC-WEKEX-2012. The AKBC-2013 workshop will serve as a forum for researchers working in the area of automated knowledge harvesting from text. By having invited talks by leading researchers from industry, academia, and the government, and by focusing particularly on vision papers, we aim to provide a vivid forum of discussion about the field of automated knowledge base construction.
Invited Speakers

Bonnie Dorr, DARPA, USA
Evgeniy Gabrilovich, Google Research, USA
Alon Halevy, Google Research, USA
Chris Manning, Stanford University, USA
James Mayfield, Johns Hopkins University, USA
Andrew McCallum, University of Massachusetts Amherst, USA
Tom Mitchell, Carnegie Mellon University, USA
Dan Weld, University of Washington, USA
Haixun Wang, Microsoft Research Asia
Gerhard Weikum, Max-Planck-Institut für Informatik, Germany (tentative)
more coming ...