Initial Ontology-Based Model for Workers Portfolio Resources

Authors

  • Desi Ramayanti  Faculty of Computer Science, Universitas Mercu Buana, Jakarta Barat, Indonesia

DOI:

https://doi.org//10.32628/CSEIT195633

Keywords:

Ontology, E-Portfolio, PRISMA, Systematic Literature Review

Abstract

The development of electronic portfolio leads to the increase of the amount of data rapidly, scattered in many types of portfolio systems and represented in an unstructured manner. Those data cannot be reused because there are no structured-standard to manage and integrate them well. Many researchers have been developed ontology-based model for various resource domain and purpose. There is not much focus on the integration of other ontology domain like education, work histories and so forth. This paper will focus on how the competency representation and related ontology domain is modeled as initial comprehensive model for representing worker’s portfolio resources. This study employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for complete this study. The study is including Systematic Literature Review (SLR) to find out and review relevant literature of research object. As the result, we proposed model ontology that contains 4 classes with its subclass. Class of competence have sub class competency evaluation, proficiency level, domain and attitude. Class of artefact have subclass supplementary, training, indirect and direct. Class of Organization Entities have subclass tasks, projects and departments. Class of personal network have subclass group and network.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-12-30

Issue

Volume 5, Issue 6, November-December-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Desi Ramayanti, " Initial Ontology-Based Model for Workers Portfolio Resources, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 6, pp.231-236, November-December-2019. Available at doi : https://doi.org/10.32628/CSEIT195633