Intelligent Farm Expert Multi Agent System

Farming data has been rapidly increasing in volume in different Web data sources. Querying multiple data sources manually on the internet is time consuming and laborious process for farmers. Traditional information systems do not scale well to the large, diverse, and the growing number of farming data sources. Internet search engines allow users to search through large numbers of data sources, but provide very limited capabilities for locating, combining, processing, and organizing information. And also the search engines don't take context of the pages into consideration. A promising approach to this problem is to provide access to the large number of farming datasources through an intelligent multiagent-based framework where a set of agents can cooperate with each other to retrieve relevant information from different farming databases. The proposed system also uses a domain ontology, which uses as a global schema. In this paper we propose a multiagent-based framework that responds to farming queries according to its farming domain ontology.