Semantic and Rule Based Event-driven Services-Oriented Agricultural Recommendation System

Agricultural Information Systems (AIS) are rich sources of information being created, maintained and published for the benefit of farmers and agroprofessionals. Ongoing research has generated knowledge regarding best practices in various aspects for farming practices to improve the yield. On the other hand, advancements in information technology and sensor technology have enabled new avenues of information for informed decisions and to utilize near real-time monitoring of data to provide effective recommendations. Even in this scenario, finding, extracting and integrating information from distributed heterogeneous sources of AIS and assimilating with realtime events like change in climatic conditions, change in market etc have raised interesting issues. We need a mechanism to collect and integrate information from scattered sources according to events and to notify the end-users with precise recommendations according to user context, location and requirements. In this paper, we propose a semantic and rule based event-driven Services- Oriented Architecture to facilitate the seamless and meaningful information integration and interoperation of distributed and heterogeneous web hosted AIS services to deliver personalized recommendation driven by real-time events and user preferences.