DC Field | Value | Language |
---|---|---|
dc.contributor.author | Triperina, Evangelia | - |
dc.contributor.author | Bardis, Georgios | - |
dc.contributor.author | Terraz, Olivier | - |
dc.contributor.author | Miaoulis, Georgios | - |
dc.contributor.author | Xydas, Ioannis | - |
dc.contributor.author | Sgouropoulou, Cleo | - |
dc.date.accessioned | 2024-07-30T10:29:31Z | - |
dc.date.available | 2024-07-30T10:29:31Z | - |
dc.date.issued | 2018-08-20 | - |
dc.identifier | scopus-85050688609 | - |
dc.identifier.issn | 2514-9288 | - |
dc.identifier.other | 85050688609 | - |
dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2764 | - |
dc.description.abstract | Purpose: 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.iso | en | en_US |
dc.relation.ispartof | Data Technologies and Applications | en_US |
dc.subject | ELECTRE III | en_US |
dc.subject | Multiple criteria decision making | en_US |
dc.subject | Ontology | en_US |
dc.subject | Ranking | en_US |
dc.subject | Semantic web | en_US |
dc.subject | Visual analytics | en_US |
dc.title | Visual-aided ontology-based ranking on multidimensional data: a case study in academia | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1108/dta-03-2017-0014 | en_US |
dc.identifier.scopus | 2-s2.0-85050688609 | - |
dcterms.accessRights | 0 | en_US |
dc.relation.dept | Department of Archival, Library and Information Studies | en_US |
dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
dc.relation.volume | 52 | en_US |
dc.relation.issue | 3 | en_US |
dc.identifier.spage | 366 | en_US |
dc.identifier.epage | 383 | en_US |
dc.collaboration | University of West Attica (UNIWA) | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.journals | Open Access | en_US |
dc.publication | Peer Reviewed | en_US |
dc.country | Greece | en_US |
local.metadatastatus | verified | en_US |
item.openairetype | Article | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Archival, Library and Information Studies | - |
crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
crisitem.author.orcid | 0000-0003-4282-2259 | - |
crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
Appears in Collections: | Articles / Άρθρα |
CORE Recommender
SCOPUSTM
Citations
4
checked on Sep 17, 2024
Page view(s)
11
checked on Sep 17, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.