This thesis presents the architecture and implementation of a query system resulted from a domain-specific conceptual data modeling and querying methodology. The query system is built for a high level conceptual query language that supports dynamically user-defined domain-specific functions and application-specific functions. It is DBMS-independent and can be translated to SQL and OQL through a normal form. Currently, it has been implemented in neuroscience domain and can be applied to any other domain.
Identifer | oai:union.ndltd.org:GEORGIA/oai:digitalarchive.gsu.edu:cs_theses-1045 |
Date | 02 August 2007 |
Creators | Shen, Xiuyun |
Publisher | Digital Archive @ GSU |
Source Sets | Georgia State University |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Computer Science Theses |
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