Paper Info
Title
Cloud Computing And Semantic Web Technologies For Ubiquitous Management Of Smart Cities-Related Competences
Abstract
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 schema, 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.
Year
DOI
Venue
2021
10.1007/s10639-020-10351-9
EDUCATION AND INFORMATION TECHNOLOGIES
Keywords
DocType
Volume
Competence management, Semantic web technologies, Cloud computing, Learning pathways
Journal
26
Issue
ISSN
Citations 
2
1360-2357
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Omiros Iatrellis110.69
Theodor Panagiotakopoulos253.65
Vassilis C. Gerogiannis33910.86
Panos Fitsilis46816.70
Achilles Kameas535550.94