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Title: Automatic generation of warehouse mediators using an ontology engine

Automatic generation of warehouse mediators using an ontology engine Data warehouses created for dynamic scientific environments, such as genetics, face significant challenges to their long-term feasibility One of the most significant of these is the high frequency of schema evolution resulting from both technological advances and scientific insight Failure to quickly incorporate these modifications will quickly render the warehouse obsolete, yet each evolution requires significant effort to ensure the changes are correctly propagated DataFoundry utilizes a mediated warehouse architecture with an ontology infrastructure to reduce the maintenance acquirements of a warehouse. Among the things, the ontology is used as an information source for automatically generating mediators, the methods that transfer data between the data sources and the warehouse The identification, definition and representation of the metadata required to perform this task is a primary contribution of this work.
Authors:
Publication Date:
OSTI Identifier:325266
Report Number(s):UCRL-JC--129930-Rev.1; CONF-980595--
ON: DE98058884; BR: YN0100000
DOE Contract Number:W-7405-ENG-48
Resource Type:Conference
Data Type:
Resource Relation:Conference: 5. international workshop on knowledge representation meets databases, Seattle, WA (United States), 31 May 1998; Other Information: PBD: 1 Apr 1998
Research Org:Lawrence Livermore National Lab., CA (United States)
Sponsoring Org:USDOE, Washington, DC (United States)
Country of Publication:United States
Language:English
Subject: 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; INFORMATION SYSTEMS; DATA BASE MANAGEMENT; FEASIBILITY STUDIES; MAINTENANCE