Automated resolution of semantic heterogeneity in multidatabases
Journal Article
·
· ACM Transactions on Database Systems
- IBM Federal Systems Company, Gaithersburg, MD (United States)
- Pennsylvania State Univ., University Park, PA (United States)
A multidatabase system provides intergrated access to heterogeneous, autonomous local databases in a distributed system. An important problem in current multidatabase systems is identification of semantically similar data in different local databases. The Summary Schemas Model (SSM) is proposed as an extension to multidatabase systems to aid in semantic identification. The SSM uses a global data structure to abstract the information available in a multidatabase system. This abstracted form allows users to use their own terms. The system uses the global data structure to match the user`s terms to the semantically closest available system terms. A simulation of the SSM is presented to compare imprecise-query processing with corresponding query-processing costs in a standard multidatabase system. The costs and benefits of the SSM are discussed, and future research directions are presented. 57 refs., 15 figs.
- OSTI ID:
- 161831
- Journal Information:
- ACM Transactions on Database Systems, Journal Name: ACM Transactions on Database Systems Journal Issue: 2 Vol. 19; ISSN 0362-5915; ISSN ATDSD3
- Country of Publication:
- United States
- Language:
- English
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