Ghent University Academic Bibliography

Advanced

Normalized semantic web distance

Tom De Nies, Christian Beecks, Fréderic Godin UGent, Wesley De Neve UGent, Grzegorz Stepien, Dörthe Arndt UGent, Laurens De Vocht, Ruben Verborgh UGent, Thomas Seidl, Erik Mannens UGent, et al. (2016) Lecture Notes in Computer Science. In Lecture Notes in Computer Science 9678. p.69-84
abstract
In this paper, we investigate the Normalized Semantic Web Distance (NSWD), a semantics-aware distance measure between two concepts in a knowledge graph. Our measure advances the Normalized Web Distance, a recently established distance between two textual terms, to be more semantically aware. In addition to the theoretic fundamentals of the NSWD, we investigate its properties and qualities with respect to computation and implementation. We investigate three variants of the NSWD that make use of all semantic properties of nodes in a knowledge graph. Our performance evaluation based on the Miller-Charles benchmark shows that the NSWD is able to correlate with human similarity assessments on both Freebase and DBpedia knowledge graphs with values up to 0.69. Moreover, we verified the semantic awareness of the NSWD on a set of 20 unambiguous concept-pairs. We conclude that the NSWD is a promising measure with (1) a reusable implementation across knowledge graphs, (2) sufficient correlation with human assessments, and (3) awareness of semantic differences between ambiguous concepts.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
SIMILARITY, INFORMATION-RETRIEVAL
in
Lecture Notes in Computer Science
series title
Lecture Notes in Computer Science
volume
9678
issue title
SEMANTIC WEB: LATEST ADVANCES AND NEW DOMAINS
pages
69 - 84
publisher
SPRINGER INT PUBLISHING AG
place of publication
CHAM
conference name
13th European Semantic Web Conference (ESWC)
conference location
Heraklion, GREECE
conference start
2016-05-29
conference end
2016-06-02
Web of Science type
Proceedings Paper
Web of Science id
000379122700005
ISSN
0302-9743
ISBN
978-3-319-34129-3
978-3-319-34128-6
DOI
10.1007/978-3-319-34129-3_5
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
8057987
handle
http://hdl.handle.net/1854/LU-8057987
date created
2016-08-31 15:03:56
date last changed
2017-01-02 09:53:25
@inproceedings{8057987,
  abstract     = {In this paper, we investigate the Normalized Semantic Web Distance (NSWD), a semantics-aware distance measure between two concepts in a knowledge graph. Our measure advances the Normalized Web Distance, a recently established distance between two textual terms, to be more semantically aware. In addition to the theoretic fundamentals of the NSWD, we investigate its properties and qualities with respect to computation and implementation. We investigate three variants of the NSWD that make use of all semantic properties of nodes in a knowledge graph. Our performance evaluation based on the Miller-Charles benchmark shows that the NSWD is able to correlate with human similarity assessments on both Freebase and DBpedia knowledge graphs with values up to 0.69. Moreover, we verified the semantic awareness of the NSWD on a set of 20 unambiguous concept-pairs. We conclude that the NSWD is a promising measure with (1) a reusable implementation across knowledge graphs, (2) sufficient correlation with human assessments, and (3) awareness of semantic differences between ambiguous concepts.},
  author       = {De Nies, Tom and Beecks, Christian and Godin, Fr{\'e}deric and De Neve, Wesley and Stepien, Grzegorz and Arndt, D{\"o}rthe and De Vocht, Laurens and Verborgh, Ruben and Seidl, Thomas and Mannens, Erik and Van de Walle, Rik},
  booktitle    = {Lecture Notes in Computer Science},
  isbn         = {978-3-319-34129-3},
  issn         = {0302-9743},
  keyword      = {SIMILARITY,INFORMATION-RETRIEVAL},
  language     = {eng},
  location     = {Heraklion, GREECE},
  pages        = {69--84},
  publisher    = {SPRINGER INT PUBLISHING AG},
  title        = {Normalized semantic web distance},
  url          = {http://dx.doi.org/10.1007/978-3-319-34129-3\_5},
  volume       = {9678},
  year         = {2016},
}

Chicago
De Nies, Tom, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, et al. 2016. “Normalized Semantic Web Distance.” In Lecture Notes in Computer Science, 9678:69–84. CHAM: SPRINGER INT PUBLISHING AG.
APA
De Nies, T., Beecks, C., Godin, F., De Neve, W., Stepien, G., Arndt, D., De Vocht, L., et al. (2016). Normalized semantic web distance. Lecture Notes in Computer Science (Vol. 9678, pp. 69–84). Presented at the 13th European Semantic Web Conference (ESWC), CHAM: SPRINGER INT PUBLISHING AG.
Vancouver
1.
De Nies T, Beecks C, Godin F, De Neve W, Stepien G, Arndt D, et al. Normalized semantic web distance. Lecture Notes in Computer Science. CHAM: SPRINGER INT PUBLISHING AG; 2016. p. 69–84.
MLA
De Nies, Tom, Christian Beecks, Fréderic Godin, et al. “Normalized Semantic Web Distance.” Lecture Notes in Computer Science. Vol. 9678. CHAM: SPRINGER INT PUBLISHING AG, 2016. 69–84. Print.