Authors: | Triperina, Evangelia Bardis, Georgios Terraz, Olivier Miaoulis, Georgios Xydas, Ioannis Sgouropoulou, Cleo |
Issue Date: | 20-Aug-2018 |
Journal: | Data Technologies and Applications |
Volume: | 52 |
Issue: | 3 |
Keywords: | ELECTRE III, Multiple criteria decision making, Ontology, Ranking, Semantic web, Visual analytics |
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. |
ISSN: | 2514-9288 |
DOI: | 10.1108/dta-03-2017-0014 |
URI: | https://uniwacris.uniwa.gr/handle/3000/2764 |
Type: | Article |
Department: | Department of Archival, Library and Information Studies |
School: | School of Administrative, Economics and Social Sciences |
Affiliation: | University of West Attica (UNIWA) |
Appears in Collections: | Articles / Άρθρα |
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