DC FieldValueLanguage
dc.contributor.authorMastora, Anna-
dc.contributor.authorKapidakis, Sarantos-
dc.date.accessioned2023-10-17T12:59:39Z-
dc.date.available2023-10-17T12:59:39Z-
dc.date.issued2016-05-
dc.identifierscopus-85022039680-
dc.identifier.issn17416485-
dc.identifier.issn01655515-
dc.identifier.other85022039680-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/497-
dc.description.abstractThe vehicle to represent Knowledge Organisation Systems (KOSs) in the environment of the Semantic Web and linked data is the Simple Knowledge Organisation System (SKOS). SKOS provides a way to assign a Uniform Resource Identifier (URI) to each concept, and this URI functions as a surrogate for the concept. This fact makes of main concern the need to clarify the URIs' ontological meaning. The aim of this study is to investigate the relationship between the ontological substance of KOS concepts and concepts revealed through the grammatical and syntactic formalisms of natural language. For this purpose, we examined the dividableness of concepts in specific KOSs (i.e. a thesaurus, a subject headings system and a classification scheme) by applying Natural Language Processing (NLP) techniques (i.e. morphosyntactic analysis) to the lexical representations (i.e. RDF literals) of SKOS concepts. The results of the comparative analysis reveal that, despite the use of multi-word units, thesauri tend to represent concepts in a way that can hardly be further divided conceptually, while subject headings and classification schemes - to a certain extent - comprise terms that can be decomposed into more conceptual constituents. Consequently, SKOS concepts deriving from thesauri are more likely to represent atomic conceptual units and thus be more appropriate tools for inference and reasoning. Since identifiers represent the meaning of a concept, complex concepts are neither the most appropriate nor the most efficient way of modelling a KOS for the Semantic Web.en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Information Scienceen_US
dc.subjectAtomic conceptsen_US
dc.subjectComposite conceptsen_US
dc.subjectDividablenessen_US
dc.subjectKnowledge Organisation Systems (KOSs) |en_US
dc.subjectMorphosyntactic analysisen_US
dc.subjectNatural Language Processing (NLP) techniques |en_US
dc.subjectRelationsen_US
dc.subjectSemantic Web |en_US
dc.subjectSimple Knowledge Organisation System (SKOS)en_US
dc.titleSKOS concepts and natural language concepts: An analysis of latent relationships in KOSsen_US
dc.typeArticleen_US
dc.identifier.doi10.1177/0165551516648108en_US
dc.identifier.scopus2-s2.0-85022039680-
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume43en_US
dc.relation.issue4en_US
dc.identifier.spage492en_US
dc.identifier.epage508en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.countryGreeceen_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-8723-0276-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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