The ontology-based methodology phases to develop multi-agent system (OmMAS)

• Published in: 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) pp. 1 - 6
• Main Authors: Yunianta, Arda, Barukah, Omar M., Yusof, Norazah, Musdholifah, Aina, Jayadiyanti, Herlina, Dengen, Nataniel, Haviluddin, Othman, Mohd Shahizan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2017
• Subjects: Information technology; Java; methodology; multi-agent system; Multi-agent systems; Ontologies; ontology knowledge; semantic approach; Semantics
• DOI: 10.1109/EECSI.2017.8239128

Semantic aspect on methodology phase is a significant issue to develop multi-agent system in the current days. There are a lot of methodologies to develop multi-agent system, but the current problem is how to choose the best methodology phase to develop current multi-agent system. The development of multi-agent system currently is to be more complex and difficult. Many aspects that contains on multi-agent system, the one of the famous issue now is about semantic aspect on multi-agent system. The old methodology phases are not suitable to develop current multi-agent system. Nowadays, many researchers start to improve and customize the obsolete methodology to adjust with the current needed. There are two research steps contains in this paper, the first step is to review and criticize previous methodologies especially about MOMA (Methodology for Developing Ontology-Based Multi-Agent System) was introduced in 2013. The second step is the main contribution of this paper is to improve previous methodology phases with the new methodology phases named OmMas (The Ontology-Based Methodology phases to Develop Multi-Agent System), and using semantic aspect as the main focus of this methodology. The result of this research is improved ontology-based methodology phases as a representation of semantic aspect on the ontology development process.