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, Portorož, Slovenia, May 31 - June 4, 2015, Revised Selected Papers. Second SemWebEval Challenge at ESWC 2015, 31 May - 04 Jun 2015, Portorož, Slovenia. Communications in Computer and Information Science, CCIS 548 . Springer International Publishing , pp. 51-62. ISBN 9783319255170

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Gao, J.
  • Mazumdar, S.
Editors:
  • Gandon, F.
  • Cabrio, E.
  • Stankovic, M.
  • Zimmermann, A.
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:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)
EP/J019488/1
Depositing User: Symplectic Sheffield
Date Deposited: 26 Sep 2016 11:03
Last Modified: 26 Jun 2024 15:47
Status: Published
Publisher: Springer International Publishing
Series Name: Communications in Computer and Information Science
Refereed: Yes
Identification Number: 10.1007/978-3-319-25518-7_5
Open Archives Initiative ID (OAI ID):

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