Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)

WordNet and Prolog: why not?

Authors
Pascual Julian-Iranzo, Fernando Saenz-Perez
Corresponding Author
Pascual Julian-Iranzo
Available Online August 2019.
DOI
10.2991/eusflat-19.2019.113How to use a DOI?
Keywords
Prolog WordNet Similarity Measures
Abstract

This paper describes a set of Prolog modules with predicates to access the information stored in the lexical data base WordNet. The aim is to use the dened predicates for empowering (fuzzy) logic programming systems for approximate reasoning tasks. To achieve this goal it is necessary to have means to calculate the degree of relationship between the words. Because WordNet relates words but does not give graded information of the relation between those words, it is necessary to implement standard methods to compute that gradation.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
Series
Atlantis Studies in Uncertainty Modelling
Publication Date
August 2019
ISBN
10.2991/eusflat-19.2019.113
ISSN
2589-6644
DOI
10.2991/eusflat-19.2019.113How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pascual Julian-Iranzo
AU  - Fernando Saenz-Perez
PY  - 2019/08
DA  - 2019/08
TI  - WordNet and Prolog: why not?
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 827
EP  - 834
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.113
DO  - 10.2991/eusflat-19.2019.113
ID  - Julian-Iranzo2019/08
ER  -