DIRECT: A System for Mining Data Value Conversion Rules from Disparate Data Sources
The successful integration of data from autonomous and heterogeneous systems calls for the resolution of semantic conflicts that may be present. Such conflicts are often reffected by discrepancies in attribute values of the same data ob...
| Main Authors: | , , , |
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| Format: | Working Paper |
| Language: | en_US |
| Published: |
2003
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/1825 |
| Summary: | The successful integration of data from autonomous and heterogeneous systems calls
for the resolution of semantic conflicts that may be present. Such conflicts are often
reffected by discrepancies in attribute values of the same data object. In this paper, we
describe a recently developed prototype system, DIRECT (DIscovering and
REconciling ConflicTs). The system mines data value conversion rules in the process
of integrating business data from multiple sources. The system architecture and
functional modules are described. The process of discovering conversion rules from
sales data of a trading company is presented as an illustrative example |
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