UMA ONTOLOGIA PARA REPRESENTAÇÃO DO CONHECIMENTO DO DOMINIO DA QUIMICA ANALITICA COM ADIÇÃO DE NOVOS AGENTES E FUNCIONALIDADES PARA ANÁLISE E MONITORAMENTO DE COMBUSTIVEIS.

Abstract

This research presents studies involving Electricity Engineering and Oil and Biofuel Analytical Chemistry areas, whose objective is the perfectioning of chemical analysis steps for the Fuel Quality Monitoring Program, instituted by the National Agency of Petroleum and Biofuel - ANP, executed in the Maranhão State by the Laboratory of Analyses and Research in Analytical Chemistry of Petroleum and Biofuel - LAPQAP. For this, improvements were proposed for the Fuel Quality Control Multiagente System, and help for the decisions taking of the laboratory. The inclusion of new agents to the multiagent society is still considered, where the objective is to add a new technique automatized for chemical analyses, beyond additional functionalities. A fuel ontology was considered for the communication mechanism that will be shaped using 101 methodology, whose objective is the representation of domain knowledge of chemical analyses beyond supply of a communication language among the society agents. In order to reach the objectives we used Artificial Intelligence techniques, inference motor JESS (Java Expert System Shell), an ontology technology to represent the domain knowledge serving as vocabulary of the communication process, the middleware JADE (Java Agent DEvelopment framework) for environment execution with their improvements and the development methodology of multiagent systems named PASSI for the system modeling.