Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/6658
Title: A comparative Analysis of Approaches for Type Conflict Resolution in Multidatabase Systems
Other Titles: مقارنة تحليلة لطرق حل التضارب في أنظمة قواعد البيانات المتعددة
Authors: A ELSHEIK, OSMAN ELWASIL
Supervisor - OMER ISHAG ELDAI MOHAMED
Keywords: A comparative Analysis
Multidatabase Systems
Issue Date: Feb-2009
Publisher: Sudan University of Science and Technology
Citation: A ELSHEIK, OSMAN ELWASIL.A comparative Analysis of Approaches for Type Conflict Resolution in Multidatabase Systems/ OSMAN ELWASIL A ELSHEIK؛ OMER ISHAG ELDAI MOHAMED.-Khartoum : sudan university of science and technology,Information System,2009.-119p:ill;28cm.M.Sc.
Abstract: Data integration is becoming an important issue for organizations in the recent years, so as to allow these organizations cooperate and exchange information with each other. Unfortunately; there are many conflicts which prevent the data integration. One of the possible solutions to this problem is integration of the different component databases for building a global unified schema. Schema integration is an approach to overcome all these conflicts and achieve data integration. This study will survey the conflicts that occur in different component schemas and resolve these conflicts then it concentrates on attribute entity conflict which represented the research problem. In addition to it explains schema integration process in multidatabase systems. This work will propose a mechanism to resolve attribute entity conflict and support the solution with explanation example and it investigates a common approaches which are use to resolve the attribute entity conflict then it explains these solutions with explanation examples. Finally this thesis presents a comparative analysis of common approaches which are used to resolve attribute entity conflict according to many criteria.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/6658
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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