IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

An Ontological Business Process Modeling Approach for Public Administration: The Case of Human Resource Management

An Ontological Business Process Modeling Approach for Public Administration: The Case of Human Resource Management
View Sample PDF
Author(s): Ioannis Savvas (Agricultural University of Athens, Greece & Aristotle University of Thessaloniki, Greece), Nick Bassiliades (Aristotle University of Thessaloniki, Greece), Kalliopi Kravari (Aristotle University of Thessaloniki, Greece)and Georgios Meditskos (Aristotle University of Thessaloniki, Greece)
Copyright: 2012
Pages: 29
Source title: Human Resources Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-1601-1.ch034

Purchase


Abstract

In this chapter, an electronic model of Public Administration’s operation using an ontology as a means to a formalized representation of knowledge is presented. According to the proposed model, every public administration procedure is viewed as a service offered to some external entity and is represented as a (Semantic) Web service, semantically annotating its functional parameters, profile, and workflow. The modeling of public administration services/procedures involved the commonly used IOPE (Inputs – Outputs – Preconditions – Effects) model of OWL-S for Semantic Web Service description. This chapter also presents a specific use case about the Human Resource Management department of the Region of Central Macedonia. In order to do so, certain extensions/adaptations of the general methodology were needed. In this chapter the authors fully present and justify these adaptations that were deployed in order to turn the general methodology into a really flexible and re-usable tool to model any public administration procedure. Furthermore, the authors describe the full knowledge engineering cycle for developing the ontology of this department’s business processes.

Related Content

Dilek Şahin Yomralıoğlu. © 2026. 30 pages.
Ghiyam Suliman Al Saaidi, Hoda Nejad, Salim Bakhit Al Daraai. © 2026. 24 pages.
Alexis J. Stokes-Burks, Danielle R. Ayodele. © 2026. 28 pages.
Okechukwu Ethelbert Amah. © 2026. 24 pages.
Aliya Mohammed Al-Mughairi. © 2026. 32 pages.
Marya Alissai, Salim Bakhit Al Daraai. © 2026. 26 pages.
Zamandlovu Sizile Makola. © 2026. 28 pages.
Body Bottom