A pragmatic approach for sustainable development based on semantic web services

Abstract

Interoperability and data integration are key aspects of sustainable agriculture projects, since they include information from different perspectives or dimensions, such as environmental, social and economic. As critical players in the modern concept of development, those projects require integrated analysis of huge amount of data in order to guarantee the principles of sustainability, which point out towards projects "ecologically sound, economically feasible, and socially fair". Understanding the semantic relations between these dimensions can potentially help to defining new sustainable projects in a given context. This paper presents practical results from a semantic application developed as a recommender system for sustainable agricultural techniques that are well-adapted to Brazilian semiarid. This region is particularly susceptible on effects of global warming and requires new strategies for development.