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Linking Datasets Using Semantic Textual Similarity Cover

Linking Datasets Using Semantic Textual Similarity

Cybernetics and Information Technologies
Volume 18 (2018): Issue 1 (March 2018)
By: John P. McCrae and  Paul Buitelaar  
Open Access
|Mar 2018

Authors

John P. McCrae

john@mccr.ae

Insight Centre for Data Analytics, National University of Ireland Galway, Galway, Ireland

Paul Buitelaar

paul.buitelaar@insight-centre.org

Insight Centre for Data Analytics, National University of Ireland Galway, Galway, Ireland
DOI: https://doi.org/10.2478/cait-2018-0010 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 109 - 123
Submitted on: Sep 29, 2017
Accepted on: Nov 30, 2017
Published on: Mar 30, 2018
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Linked data,
link discovery,
ontology alignment,
semantic textual similarity,
structural similarity,
NLP architectures
Related subjects:
Computer sciences,
Information technology

© 2018 John P. McCrae, Paul Buitelaar, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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