000168163 001__ 168163 000168163 005__ 20260128154426.0 000168163 0247_ $$2doi$$a10.1145/3412841.3442141 000168163 0248_ $$2sideral$$a147710 000168163 037__ $$aART-2021-147710 000168163 041__ $$aeng 000168163 100__ $$aBuey, María G. 000168163 245__ $$aA domain independent semantic measure for keyword sense disambiguation 000168163 260__ $$c2021 000168163 5060_ $$aAccess copy available to the general public$$fUnrestricted 000168163 5203_ $$aUnderstanding the user's intention is crucial in human-machine interaction. When dealing with text input, Word Sense Disambiguation (WSD) techniques play an important role. WSD techniques typically require well-formed sentences as context to operate, and predefined catalogues of word senses. However, such conditions do not always apply, such as when there is a need to disambiguate keywords from a query, or sets of tags describing any Web resource. In this paper, we propose a keyword disambiguation method based on the semantic relatedness between words and ontological terms. Taking advantage of the semantic information captured by word embeddings, our approach maps a set of input keywords to their meanings within a given target ontology. We focus on situations where the available linguistic information is very scarce, hampering natural language based approaches. Experimental results show the feasibility of our approach without previous training for target domains. 000168163 536__ $$9info:eu-repo/grantAgreement/ES/AEI-FEDER/TIN2016-78011-C4-3-R$$9info:eu-repo/grantAgreement/EC/H2020/780602/EU/Building the Legal Knowledge Graph for Smart Compliance Services in Multilingual Europe/Lynx$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 780602-Lynx$$9info:eu-repo/grantAgreement/EC/H2020/825182/EU/Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors/Pret-a-LLOD$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 825182-Pret-a-LLOD 000168163 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000168163 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000168163 700__ $$0(orcid)0000-0003-4239-8785$$aBobed, Carlos$$uUniversidad de Zaragoza 000168163 700__ $$0(orcid)0000-0001-6452-7627$$aGracia, Jorge$$uUniversidad de Zaragoza 000168163 700__ $$0(orcid)0000-0002-7462-0080$$aMena, Eduardo$$uUniversidad de Zaragoza 000168163 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000168163 773__ $$g36 (2021), 1883-1886$$tProceedings of the ACM Symposium on Applied Computing 000168163 8564_ $$s506704$$uhttps://zaguan.unizar.es/record/168163/files/texto_completo.pdf$$yVersión publicada 000168163 8564_ $$s714391$$uhttps://zaguan.unizar.es/record/168163/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000168163 909CO $$ooai:zaguan.unizar.es:168163$$particulos$$pdriver 000168163 951__ $$a2026-01-28-15:42:27 000168163 980__ $$aARTICLE