Managing Schema Evolution using a Temporal Object Model
Iqbal A. Goralwalla, Duane Szafron, M. TAMER ÖZSU, Randel J. Peters, M. Tamer, Randal J. Peters
Abstract
Iqbal A. Goralwalla, Duane Szafron, M. TAMER ÖZSU, Randel J. Peters, M. Tamer, Randal J. Peters
Abstract
The issues of schema evolution and temporal object models are generally considered to be orthogonal and are handled independently. This is unrealistic because to properly model applications that need incremental design and experimentation (such as CAD, software design process), the evolutionary histories of the schema objects should be traceable. In this paper we propose a method for managing schema changes by exploiting the functionality of a temporal object model. The result is a uniform treatment of schema evolution and temporal support for many object database management systems applications that require both. 1 Introduction In this paper we address the issue of schema evolution and temporal object models. These two issues are generally considered to be orthogonal and are handled independently. However, many object database management systems (ODBMS) applications require both. For example: ffl The results reported in [Sjø93] illustrate the extent to which schema changes occur in ...
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The issues of schema evolution and temporal object models are generally considered to be orthogonal and are handled independently. This is unrealistic because to properly model applications that need incremental design and experimentation (such as CAD, software design process), the evolutionary histories of the schema objects should be traceable. In this paper we propose a method for managing schema changes by exploiting the functionality of a temporal object model. The result is a uniform treatment of schema evolution and temporal support for many object database management systems applications that require both. 1 Introduction In this paper we address the issue of schema evolution and temporal object models. These two issues are generally considered to be orthogonal and are handled independently. However, many object database management systems (ODBMS) applications require both. For example: ffl The results reported in [Sjø93] illustrate the extent to which schema changes occur in ...
Key concepts: Schema evolution, Computer science, Schema (genetic algorithms), Semi-structured model, Database schema, Schema migration, Information schema, Conceptual schema