DC FieldValueLanguage
dc.contributor.authorPeponakis, Manolis-
dc.contributor.authorMastora, Anna-
dc.contributor.authorKapidakis, Sarantos-
dc.contributor.authorDoerr, Martin-
dc.date.accessioned2023-10-31T08:09:55Z-
dc.date.available2023-10-31T08:09:55Z-
dc.date.issued2019-
dc.identifierscopus-85064244688-
dc.identifier.issn14321300-
dc.identifier.issn14325012-
dc.identifier.other85064244688-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/743-
dc.description.abstractThis study considers the expressiveness (that is, the expressive power or expressivity) of different types of Knowledge Organization Systems (KOS) and discusses its potential to be machine-processable in the context of the semantic web. For this purpose, the theoretical foundations of KOS are reviewed based on conceptualizations introduced by the Functional Requirements for Subject Authority Data (FRSAD) and the Simple Knowledge Organization System (SKOS); natural language processing techniques are also implemented. Applying a comparative analysis, the dataset comprises a thesaurus (Eurovoc), a subject headings system (LCSH) and a classification scheme (DDC). These are compared with an ontology (CIDOC-CRM) by focusing on how they define and handle concepts and relations. It was observed that LCSH and DDC focus on the formalism of character strings (nomens) rather than on the modelling of semantics; their definition of what constitutes a concept is quite fuzzy, and they comprise a large number of complex concepts. By contrast, thesauri have a coherent definition of what constitutes a concept, and apply a systematic approach to the modelling of relations. Ontologies explicitly define diverse types of relations, and are by their nature machine-processable. The paper concludes that the potential of both the expressiveness and machine processability of each KOS is extensively regulated by its structural rules. It is harder to represent subject headings and classification schemes as semantic networks with nodes and arcs, while thesauri are more suitable for such a representation. In addition, a paradigm shift is revealed which focuses on the modelling of relations between concepts, rather than the concepts themselves.en_US
dc.language.isoenen_US
dc.publisherArxiven_US
dc.relation.ispartofInternational Journal on Digital Librariesen_US
dc.subjectComputational linguisticsen_US
dc.subjectExpressivenessen_US
dc.subjectKnowledge Organization Systems (KOS)en_US
dc.subjectMachine processabilityen_US
dc.subjectOntologiesen_US
dc.subjectSemantic weben_US
dc.titleExpressiveness and machine processability of Knowledge Organization Systems (KOS): an analysis of concepts and relationsen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00799-019-00269-0en_US
dc.identifier.scopus2-s2.0-85064244688-
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume20en_US
dc.relation.issue4en_US
dc.identifier.spage433en_US
dc.identifier.epage452en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_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.orcid0000-0002-8723-0276-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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