Award Date
1-1-2002
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Committee Member
Kazem Tagva
Number of Pages
52
Abstract
This thesis is concerned with the team efforts to develop a large database to track medical information. A large XML schema is developed from the Extended ER diagram to capture key and foreign key constraints. The strong types of XML schema were also used to assert patterns and domain constraints. These constraints will be used to aid the recognition of medical forms.
Keywords
Databases; Developing; Large; Modeling; Scale; Schema; Xml
Controlled Subject
Computer science; Health services administration
File Format
File Size
1290.24 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Permissions
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Repository Citation
Maslesa, Zumreta, "Large-scale database modeling: Developing XML schema" (2002). UNLV Retrospective Theses & Dissertations. 1379.
http://dx.doi.org/10.25669/ieio-n0uw
Rights
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