Abstract: This study presents a concept based information system for livestock management system. It employs a semantic graph models that use nodes as entities set and edges as semantic roles. The data base end-users formulate queries by selecting a set of edges between selected sets of nodes and specifying for each node a set of data retrieval criteria. The system displays all schema, attributes and criteria which the end-user can select in form of natural question. The system arranges them and transforms them into Structural Query Language (SQL) statement for execution. At end, it enables the end users to pose desired query statements that generate reports for decision making about livestock farm at University of Agriculture, Abeokuta, Nigeria.
O.T. Arogundade and A.T. Akinwale , 2007. The Use of Conceptual Query Processing for Livestock Management System. Asian Journal of Information Technology, 6: 170-175.