A framework for classifying and resolving semantic conflicts using the enhanced entity-relationship model
Lindsey, Daniel A.
Kamel, Magdi N.
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In today's organizations, information in current databases is stored in a variety of homogeneous systems and data organizations. This situation causes problems when trying to integrate them into a federated or multi-database solution. Particularly troublesome is semantic conflict, differences in the meanings of data structures and definitions in heterogeneous databases. this thesis proposes a systematic approach towards identifying, classifying and resolving semantic conflicts. Using an entity relationship approach at the integrating model, a framework is developed which describes all possible semantic conflicts among the underlying schemas. This framework can be employed as a methodological tool during an integration effort. Possible resolution strategies are offered for each type of conflict and applied to the separate databases to realize a common global schema which could be used to formulate effective queries against the total original wolume of data.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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