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Data warehouse evolution: consistent metadata management.
| Content Provider | CiteSeerX |
|---|---|
| Author | Lee, Amy J. Rundensteiner, Elke A. |
| Abstract | Large information spaces such as the WWW face the problem of how to maintain data warehouses #views# de#ned over Information Sources #ISs# whenever capabilities of these ISs change. Wehave developed a novel solution approach to address this problem, called the Evolvable View Environment#EVE#. In EVE, knowledge of both the capabilities of as well as #partial# containment relationships between ISs is collected in a Meta Knowledge Base #MKB#. The accuracy and consistency of the MKB has great importance to the EVE framework, because the MKB serves as an information pool enabling EVE to #nd alternative replacements for components of views that have become affected by IS capabilitychanges. In this paper, we describe the meta knowledge management problem and focus on issues related to the MKB evolution process. The contributions of this paper are threefold. In this paper, we #rst formally de#ne consistency criteria for the MKB evolution process. Second, we use PC constraintevolution to demons... |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Data Warehouse Evolution Consistent Metadata Management Mkb Evolution Process Meta Knowledge Management Problem Evolvable View Environment Eve I Change Pc Constraintevolution Eve Framework Information Source I Novel Solution Approach Great Importance Information Pool Meta Knowledge Base Mkb Large Information Space Data Warehouse View Consistency Criterion Alternative Replacement Partial Containment Relationship |
| Content Type | Text |
| Resource Type | Article |
