Special issue on structured and crowd-sourced data on the Web

Special issue on structured and crowd-sourced data on the Web The VLDB Journal (2013) 22:587–588 DOI 10.1007/s00778-013-0327-9 GUEST EDITORIAL Marco Brambilla · Stefano Ceri · Alon Halevy Received: 25 June 2013 / Accepted: 26 June 2013 / Published online: 9 July 2013 © Springer-Verlag Berlin Heidelberg 2013 The abundance of structured and social data on the Web cou- easily with human input. The main challenges in these areas pled with ability to solicit feedback from crowds has the concern the quality assessment of the additional signals and potential of changing the way we search for information and blending socially promoted results with results generated by enabling new classes of applications on the Web. This spe- traditional algorithms. cial issue of the VLDB Journal features original contributions A total of seventeen papers were submitted to the special that advance the state of the art in this topic area. Broadly, issue; out of them, six papers were selected (acceptance rate the special issue is concerned with methods for analyzing and 0.35); the paper by Bozzon et al. was managed by an anony- serving structured data on the Web and methods for enhanc- mous VLDB Journal editor. The special issue deadline was ing data by soliciting feedback from crowds. September 15, 2012; http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The VLDB Journal Springer Journals

Special issue on structured and crowd-sourced data on the Web

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Springer Berlin Heidelberg
Copyright © 2013 by Springer-Verlag Berlin Heidelberg
Computer Science; Database Management
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