Exploiting Linked Open Data to Uncover Entity Types

Gao, J. and Mazumdar, S. (2016) Exploiting Linked Open Data to Uncover Entity Types. In: Gandon, F., Cabrio, E., Stankovic, M. and Zimmermann, A., (eds.) Semantic Web Evaluation Challenges. Second SemWebEval Challenge at ESWC 2015, May 31 - June 4, 2015, Portorož, Slovenia. 548, 548 . Springer International Publishing , pp. 51-62. ISBN 978-3-319-25517-0

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Authors/Creators:
  • Gao, J.
  • Mazumdar, S.
Copyright, Publisher and Additional Information: © 2015 Springer International Publishing Switzerland. This is an author produced version of a paper subsequently published in Communications in Computer and Information Science. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published: 7 January 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/J019488/1
Depositing User: Symplectic Sheffield
Date Deposited: 26 Sep 2016 11:03
Last Modified: 01 Nov 2016 05:57
Published Version: http://dx.doi.org/10.1007/978-3-319-25518-7_5
Status: Published
Publisher: Springer International Publishing
Series Name: 548
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-319-25518-7_5

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