DC FieldValueLanguage
dc.contributor.authorTriperina, Evangelia-
dc.contributor.authorBardis, Georgios-
dc.contributor.authorTerraz, Olivier-
dc.contributor.authorMiaoulis, Georgios-
dc.contributor.authorXydas, Ioannis-
dc.contributor.authorSgouropoulou, Cleo-
dc.date.accessioned2024-07-30T10:29:31Z-
dc.date.available2024-07-30T10:29:31Z-
dc.date.issued2018-08-20-
dc.identifierscopus-85050688609-
dc.identifier.issn2514-9288-
dc.identifier.other85050688609-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2764-
dc.description.abstractPurpose: The purpose of this paper is to introduce a novel framework for visual-aided ontology-based multidimensional ranking and to demonstrate a case study in the academic domain. Design/methodology/approach: The paper presents a method for adapting semantic web technologies on multiple criteria decision-making algorithms to endow to them dynamic characteristics. It also showcases the enhancement of the decision-making process by visual analytics. Findings: The semantic enhanced ranking method enables the reproducibility and transparency of ranking results, while the visual representation of this information further benefits decision makers into making well-informed and insightful deductions about the problem. Research limitations/implications: This approach is suitable for application domains that are ranked on the basis of multiple criteria. Originality/value: The discussed approach provides a dynamic ranking methodology, instead of focusing only on one application field, or one multiple criteria decision-making method. It proposes a framework that allows integration of multidimensional, domain-specific information and produces complex ranking results in both textual and visual form.en_US
dc.language.isoenen_US
dc.relation.ispartofData Technologies and Applicationsen_US
dc.subjectELECTRE IIIen_US
dc.subjectMultiple criteria decision makingen_US
dc.subjectOntologyen_US
dc.subjectRankingen_US
dc.subjectSemantic weben_US
dc.subjectVisual analyticsen_US
dc.titleVisual-aided ontology-based ranking on multidimensional data: a case study in academiaen_US
dc.typeArticleen_US
dc.identifier.doi10.1108/dta-03-2017-0014en_US
dc.identifier.scopus2-s2.0-85050688609-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume52en_US
dc.relation.issue3en_US
dc.identifier.spage366en_US
dc.identifier.epage383en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.openairetypeArticle-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0003-4282-2259-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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