DC FieldValueLanguage
dc.contributor.authorChaleplioglou, Artemis-
dc.contributor.authorPapavlasopoulos, Sozon-
dc.contributor.authorPoulos, Marios-
dc.date.accessioned2023-10-16T08:01:24Z-
dc.date.available2023-10-16T08:01:24Z-
dc.date.issued2020-08-
dc.identifier.issn1790-0832-
dc.identifier.otherSzSNM_QAAAAJ:YOwf2qJgpHMC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/414-
dc.description.abstractPolysemy, when a single term has multiple meanings, and synonymy, when multiple terms have the same meaning, are common phenomena in linguistics as well as in scientific knowledge. In ontology engineering, it is vital to detect the synonyms annotations and the multiple inheritances because of polysemy. The persistence of these issues in the semantic description of a knowledge domain causes problematic interoperability and data processing. The disambiguation of the entities, properties and relationships sense in a semantic web ontology significantly improves linked data generation and information retrieval. We explore the synonymy and polysemy in the setting of a cardiology terminology generated from textbooks on the basis of field coverage, professionals’ associations’ recommendations and bibliometrics, for the building of a cardiologic ontology. From 56,134 terms collected we found that 67.7% were unique. The indexed terms included single words, compound words and multi-word expressions. The frequency of their appearances in the combined master index was calculated and used as a marker of their significance. To cope with the linguistic polysemy and synonymy of terms, we examined them in WordNet, MeSH and BioPortal, as well as by latent semantic analysis (LSA) through singular value decomposition (SVD). Through these approaches we managed to identify and decipher semantic associations and relationships between the terms. We proposed a roadmap for ontology building from scratch by utilizing intrinsic and extrinsic knowledge resources and reuse of metadata. We anticipate that this approach is applicable in …en_US
dc.language.isoenen_US
dc.relation.ispartofWSEAS Transactions on Information Science and Applicationsen_US
dc.sourceWSEAS Transactions on Information Science and Applications 17, 117-123, 2020-
dc.subjectCardiologyen_US
dc.subjectIndex analysisen_US
dc.subjectLatent Semantic Analysisen_US
dc.subjectSingular Value Decompositionen_US
dc.titlePolysemy and Synonymy Detection in Ontology Engineeringen_US
dc.typeArticleen_US
dc.identifier.doi10.37394/23209.2020.17.14en_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume17en_US
dc.identifier.spage117en_US
dc.identifier.epage123en_US
dc.linkhttps://www.researchgate.net/profile/Artemis-Chaleplioglou-2/publication/343934066_Polysemy_and_Synonymy_Detection_in_Ontology_Engineering/links/5f48c660a6fdcc14c5d6d882/Polysemy-and-Synonymy-Detection-in-Ontology-Engineering.pdfen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-6519-7428-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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