Normalized Semantic Web Distance
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.
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Published in 2016 in The Semantic Web: Latest Advances and New Domains (ESWC 2016).
- Web
- Semantic Web
- DBpedia
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Cite this article easily using its BibTeX entry:
@inproceedings{denies_eswc_2016,
author = {De Nies, Tom and Beecks, Christian and Godin, Fr\'ederic and De Neve, Wesley and Stepien, Grzegorz and Arndt, D\"orthe and De Vocht, Laurens and Verborgh, Ruben and Seidl, Thomas and Mannens, Erik and Van de Walle, Rik},
title = {{Normalized Semantic Web Distance}},
booktitle = {The Semantic Web: Latest Advances and New Domains (ESWC 2016)},
editor = {Sack, Harald and Blomqvist, Eva and d'Aquin, Mathieu and Ghidini, Chiara and Ponzetto, Paolo Simone and Lange, Christoph},
year = 2016,
month = may,
pages = {69--84},
volume = 9678,
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-34129-3},
doi = {10.1007/978-3-319-34129-3_5},
url = {http://dx.doi.org/10.1007/978-3-319-34129-3_5},
}
Alternatively, pick a reference of your choice below:
- ACM
- Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, and Rik Van de Walle. 2016. Normalized Semantic Web Distance. In The Semantic Web: Latest Advances and New Domains (ESWC 2016) (Lecture Notes in Computer Science), Springer, 69–84.
- APA
- De Nies, T., Beecks, C., Godin, F., De Neve, W., Stepien, G., Arndt, D., De Vocht, L., Verborgh, R., Seidl, T., Mannens, E., & Van de Walle, R. (2016). Normalized Semantic Web Distance. In H. Sack, E. Blomqvist, M. d’Aquin, C. Ghidini, P. S. Ponzetto, & C. Lange (Eds.), The Semantic Web: Latest Advances and New Domains (ESWC 2016) (Vol. 9678, pp. 69–84). Springer.
- IEEE
- T. De Nies et al., “Normalized Semantic Web Distance,” in The Semantic Web: Latest Advances and New Domains (ESWC 2016), 2016, vol. 9678, pp. 69–84.
- LNCS
- De Nies, T., Beecks, C., Godin, F., De Neve, W., Stepien, G., Arndt, D., De Vocht, L., Verborgh, R., Seidl, T., Mannens, E., Van de Walle, R.: Normalized Semantic Web Distance. In: Sack, H., Blomqvist, E., d’Aquin, M., Ghidini, C., Ponzetto, P.S., and Lange, C. (eds.) The Semantic Web: Latest Advances and New Domains (ESWC 2016). pp. 69–84. Springer (2016).
- MLA
- De Nies, Tom, et al. “Normalized Semantic Web Distance.” The Semantic Web: Latest Advances and New Domains (ESWC 2016), edited by Harald Sack et al., vol. 9678, Springer, 2016, pp. 69–84.
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