An unsupervised data-driven method to discover equivalent relations in large Linked Datasets

Zhang, Z., Gentile, A.L., Blomqvist, E. et al. (2 more authors) (2016) An unsupervised data-driven method to discover equivalent relations in large Linked Datasets. Semantic Web, 8 (2). pp. 197-223. ISSN 1570-0844

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 IOS Press and the authors. This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution Non-Commercial License.
Keywords: Ontology alignment; ontology mapping; Linked Data; DBpedia; similarity measure
Dates:
  • Published: 6 December 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 05 Jan 2017 12:47
Last Modified: 25 Oct 2018 13:32
Published Version: https://doi.org/10.3233/SW-150193
Status: Published
Publisher: IOS Press
Refereed: Yes
Identification Number: https://doi.org/10.3233/SW-150193

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