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Implementation of a knowledge‐based agricultural geographic decision‐support system in the Dominican Republic: a case study

Severin V. Grabski (Department of Accounting, Michigan State University, East Lansing, Michigan, USA)
David Mendez (Department of Health Management & Policy, The University of Michigan, Ann Arbor, Michigan, USA)

Information Technology & People

ISSN: 0959-3845

Article publication date: 1 September 1998

896

Abstract

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.

Keywords

Citation

Grabski, S.V. and Mendez, D. (1998), "Implementation of a knowledge‐based agricultural geographic decision‐support system in the Dominican Republic: a case study", Information Technology & People, Vol. 11 No. 3, pp. 174-193. https://doi.org/10.1108/09593849810227986

Publisher

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MCB UP Ltd

Copyright © 1998, MCB UP Limited

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