Education and Information Technologies (EAIT) is a journal published by Springer New York LLC covering the complex relationships between information and communication technologies and education. EAIT is in the top quartile of all Scopus journals in Education (Q1) based on Scimago Journal Rank (SJR) and is the official journal of the IFIP Technical Committee on Education.
Our Smart-DevOps project partners submitted the paper “Cloud Computing and Semantic Web Technologies for Ubiquitous Management of Smart Cities-related Competences” which has been accepted by the EAIT journal.
- Dr. Omiros Iatrellis, University of Thessaly, Greece
- Dr. Theodor Panagiotakopoulos, Daisy Research Group of Hellenic Open University, Greece
- Prof. Dr. Vassilis Gerogiannis, University of Thessaly, Greece
- Prof. Dr. Panos Fitsilis, University of Thessaly, Greece
- Prof. Dr. Achilles Kameas, Daisy Research Group of Hellenic Open University, Greece
One of the biggest challenges in building sustainable smart cities of the future is skill management and development. Developing the digital skills of the municipalities’ workforce is crucial for all occupational profiles and specifically for those that are actively involved in the development and operation of digital services for a smart city. In this context, the current paper presents a semantically enhanced cloud-based IT approach which integrates learning pathways with competence management of personnel working as management and technical employees in a smart city municipality.
The proposed approach combines a rule-based expert system with a semantically rich infrastructure in order to map skill gap diagnosis to required learning objects and, thus, to contribute in developing appropriate competences of smart city professionals. The semantic infrastructure of the learning platform consists of an ontology, which encapsulates the appropriate knowledge and a rule-base for modeling the steps of an employee training process. In order to achieve efficiency in competence management, the semantic model has been transformed into a relational database scheme, which is further utilized by the system for the execution of useful queries. The paper presents the key modeling artifacts of the proposed approach and the architecture of the implemented CMUTE system.