Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Cybernetics and Information Technologies
Volume 18 (2018): Issue 1 (March 2018)
Open Access
Linking Datasets Using Semantic Textual Similarity
John P. McCrae
John P. McCrae
and
Paul Buitelaar
Paul Buitelaar
| Mar 30, 2018
Cybernetics and Information Technologies
Volume 18 (2018): Issue 1 (March 2018)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Mar 30, 2018
Page range:
109 - 123
Received:
Sep 29, 2017
Accepted:
Nov 30, 2017
DOI:
https://doi.org/10.2478/cait-2018-0010
Keywords
Linked data
,
link discovery
,
ontology alignment
,
semantic textual similarity
,
structural similarity
,
NLP architectures
© 2018 John P. McCrae et al., published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.