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Effective land use management in lesser developed countries is problematic due to a variety of factors including inexperience and turnover of decision makers, lack of communication among experts in functional areas, and scattered or missing data needed by managers to make informed decisions. This paper describes a “first step” approach toward the solution of these problems that was implemented in the Dominican Republic. The paper introduces a framework used to organize and facilitate the sharing of data needed for land use decision across multiple disciplines. The framework provided the basis for the development of a prototype agricultural geographic decision support system for use in the Dominican Republic. This system is unique in that it combines concepts from semantic data modeling and database design, geographic information systems, and knowledge‐based systems.