Authors: | Triperina, Evangelia Sgouropoulou, Cleo Tsolakidis, Anastasios |
Issue Date: | 16-Jun-2020 |
Conference: | 11th Annual International VIVO Conference, 16 June 2020 (online) |
Keywords: | Decision making, Linked Open Data, Ontology, Research management, Visual analytics |
Abstract: | The presentation and the assessment of academic and research activities, collaborations and performance are crucial for Universities, as well as for all the involved stakeholders. We propose a system that complements VIVO and introduces to it additional decision support capabilities, which allow making deductions about the conducted research quality and quantity at any level within the institution. Our academic evaluation approach builds upon VIVO and includes an elaborate research management information component that is called IREMA, which focused on the individual researchers’ performance, as well as the formed research networks, within an academic institution, and a multidimensional ontology-based visual ranking component, the AcademIS, which evaluates and ranks the performance of academic units, ranging from academic departments and faculties to whole universities. Our approach is implemented in a Greek University, namely the University of West Attica. The described method builds upon VIVO ontology, which extends in order to cover the concepts of academic evaluation, and thus facilitates the required information for all the components of our system. Our method integrates visual analytics, in order to assist the users to understand effortlessly the presented information and make more informed decisions. |
URL: | https://openreview.net/forum?id=p6qud8KHqpB |
URI: | https://uniwacris.uniwa.gr/handle/3000/2752 |
Type: | Conference Paper |
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: | Conference Papers or Poster or Presentation / Δημοσιεύσεις σε Συνέδρια |
CORE Recommender
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.