DC FieldValueLanguage
dc.contributor.authorTriperina, Evangelia-
dc.contributor.authorTerraz, Olivier-
dc.contributor.authorMiaoulis, Georgios-
dc.contributor.authorXydas, Ioannis-
dc.contributor.authorSgouropoulou, Cleo-
dc.date.accessioned2024-07-26T10:24:28Z-
dc.date.available2024-07-26T10:24:28Z-
dc.date.issued2017-06-08-
dc.identifierscopus-85023631481-
dc.identifier.isbn978-1-5090-5467-1-
dc.identifier.issn2165-9567-
dc.identifier.issn2165-9559-
dc.identifier.other85023631481-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2757-
dc.description.abstractAcademic units comprise multiple domains that influence their overall performance and synthesize their profile. In order to assist decision makers and examine the impact of the activities and the interactions of Higher Educational Institutions on the domains of which academia is consisted, multivariate rankings are utilized. Rankings can be used as a measure of the development of an academic unit in time and in relation to other academic units, as well as a guide for the strategic planning. Although, multifaceted information gives a clearer interpretation of the status of academic units and contributes to their development, it perplexes the decision making process by increasing its complexity. The paper describes a ranking methodology that considers the multidimensionality of academia, so as to offer a detailed comparison and assessment of educational institutions, but also alleviates the intricacy of multifaceted data by introducing semantic web technologies and visual analytics to the multiple criteria decision making process. The applicability of the methodology to the academic domain is ensured by the competency check, which is a set of requirements that should be satisfied by the domain. In this context, we present the Multidimensional Ontology Based Visual Ranking system, which builds upon the before mentioned methodology and proposes the use of ontologies for storing, managing and exploring the information and visual analytics for providing interactive presentation and insights on complex and voluminous data.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of 2017 IEEE Global Engineering Education Conference (EDUCON2016), "Challenging the Transition from the Classic to the Emerging in Engineering Education"en_US
dc.subjectAcademic rankingen_US
dc.subjectMultidimensional rankingen_US
dc.subjectMultiple Criteria Decision Makingen_US
dc.subjectOntologyen_US
dc.subjectVisual analyticsen_US
dc.titleAssessing the performance of educational institutions: A multidimensional approachen_US
dc.typeConference Paperen_US
dc.relation.conference2017 IEEE Global Engineering Education Conference (EDUCON2016), "Challenging the Transition from the Classic to the Emerging in Engineering Education", 25-28 April 2017, Athens, Greeceen_US
dc.identifier.doi10.1109/EDUCON.2017.7943021en_US
dc.identifier.scopus2-s2.0-85023631481-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage1337en_US
dc.identifier.epage1344en_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.openairetypeConference Paper-
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-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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