Implementing WordNet Measures of Lexical Semantic Similarity in a Fuzzy Logic Programming System

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dc.contributor.authorPascual, Julián_Iranzo
dc.contributor.authorSáenz Pérez, Fernando
dc.date.accessioned2025-01-13T14:49:55Z
dc.date.available2025-01-13T14:49:55Z
dc.date.issued2021-03
dc.descriptionWork is partially funded by the State Research Agency (AEI) of the Spanish Ministry of Science and Innovation under grant PID2019-104735RB-C42 (SAFER), by the Spanish Ministry of Economy and Competitiveness, under the grants TIN2016-76843-C4-2-R (MERINET), TIN2017-86217-R (CAVI-ART-2), and by the Comunidad de Madrid, under the grant S2018/TCS-4339 (BLOQUES-CM), co-funded by EIE Funds of the European Union.
dc.description.abstractThis paper introduces techniques to integrate WordNet into a Fuzzy Logic Programming system. Since WordNet relates words but does not give graded information on the relation between them, we have implemented standard similarity measures and new directives allowing the proximity equations linking two words to be generated with an approximation degree. Proximity equations are the key syntactic structures which, in addition to a weak unification algorithm, make a flexible query-answering process possible in this kind of programming language. This addition widens the scope of Fuzzy Logic Programming, allowing certain forms of lexical reasoning, and reinforcing Natural Language Processing applications.
dc.description.departmentDepto. de Ingeniería de Software e Inteligencia Artificial (ISIA)
dc.description.facultyFac. de Informática
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (España)
dc.description.sponsorshipMinisterio de Economía, Comercio y Empresa (España)
dc.description.sponsorshipComunidad de Madrid
dc.description.sponsorshipEuropean Union
dc.description.statuspub
dc.identifier.citationJULIÁN-IRANZO P, SÁENZ-PÉREZ F. Implementing WordNet Measures of Lexical Semantic Similarity in a Fuzzy Logic Programming System. Theory and Practice of Logic Programming. 2021;21(2):264-282. doi:10.1017/S1471068421000028
dc.identifier.doi10.1017/s1471068421000028
dc.identifier.issn1471-0684
dc.identifier.issn1475-3081
dc.identifier.officialurlhttps://dx.doi.org/10.1017/S1471068421000028
dc.identifier.urihttps://hdl.handle.net/20.500.14352/114018
dc.issue.number2
dc.language.isoeng
dc.page.final282
dc.page.initial264
dc.publisherCambridge University Press
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104735RB-C42/ES/ANALYSIS AND VALIDATION OF SOFTWARE AND WEB RESOURCES/
dc.relation.projectIDS2018/TCS-4339
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.keywordFuzzy Logic Programming
dc.subject.keywordWordNet
dc.subject.keywordProximity Equations
dc.subject.keywordSystem Implementation
dc.subject.ucmLenguajes de programación
dc.subject.unesco1203.23 Lenguajes de Programación
dc.titleImplementing WordNet Measures of Lexical Semantic Similarity in a Fuzzy Logic Programming System
dc.typejournal article
dc.type.hasVersionAO
dc.volume.number21
dspace.entity.typePublication
relation.isAuthorOfPublication7d90b5c1-c8b0-4345-9fb2-11622136f010
relation.isAuthorOfPublication.latestForDiscovery7d90b5c1-c8b0-4345-9fb2-11622136f010

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