EPSRC Reference: |
GR/L13780/01 |
Title: |
PERSISTENT EVOLUTION |
Principal Investigator: |
Morrison, Professor R |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Computer Science |
Organisation: |
University of St Andrews |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 July 1996 |
Ends: |
31 July 1996 |
Value (£): |
2,600
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EPSRC Research Topic Classifications: |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
This research investigates a new approach to persistent application systems and database management systems that is better suited to a wide class of new applications such as scientific, hypermedia, and financial applications. These applications are characterised by their need to store large amounts of data whose structure must evolve as it is discovered by an application. Our premise is that, in these situations, database systems need a way to store data without imposing a schema, and a way to provide a schema incrementally as the data is processed. This requires that the data be mapped in complex ways to an evolving schema.While the relationship between the data and the schema may be complex, it is incompletely specified with regard to application systems without reference to the programs and queries. Since new structure is discovered and exploited by the programs and queries, it is sensible to contain them within the database itself.The research investigates mechanisms to discover and redefine the relationships amongst the metadata, the data and the programs which is essential to evolution in a data intensive system. Without this ability to accommodate change, which we call persistent evolution, the system will atrophy and become obsolete.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.st-and.ac.uk |