Ontology-Based, Process-Oriented, and Society-Independent Agent System for Cloud Computing

Mahmood Fathalipour, Ali Selamat and Jason J. Jung

International Journal of Distributed Sensor Networks, 2014, vol. 10, issue 3, 689650

Abstract: IT systems are used to help organizations to manage and automate their processes. However, most of today's systems are not reusable because of mixing the society's knowledge with the process's knowledge. Since the societies’ knowledge is different to each other, the applications are not reusable. Hence, this paper address the dependency of the applications on the societies by separately defining process's ontology, the agent's knowledge, the society's ontology, and the society's knowledge. This research introduces an ontology-based, process-oriented, and society-independent agent system which allows all the organizations to utilize it by defining and importing their societies’ ontology and some process patterns, which can be instantiated from the process's ontology, into the system. The proposed system can be applied to cloud computing platform. The proposed system has been evaluated from two perspectives, the quality by using the cohesion and the coupling measures for measuring the degree to which the system focuses on solving a particular problem and the applicability by evaluating the manageability and the automatability of the seven processes from three different societies. We believe that our proposed system will improve when we apply some methods to find the best process patterns and perform parallel processes.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1155/2014/689650 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:10:y:2014:i:3:p:689650

DOI: 10.1155/2014/689650

Access Statistics for this article

More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().