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J. F. Roddick and R. T. Snodgrass. Schema Versioning. In The TSQL2 Temporal Query Language. Kluwer, 1995.

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Description Logics for Modelling Dynamic Information - Artale, Franconi, Mandreoli (2003)   (1 citation)  (Correct)

....of change, which refers to the e#ects of the change on the schema itself, and, in particular the checking and maintenance of schema consistency after changes. In the literature, the problem have been widely studied in relational and object oriented database papers. In the relational field [38,17], the problem is solved by specifying a precise semantics of the schema changes, for example via algebraic operations on catalogue and base tables. However, the related consistency problems have not been considered so far. The correct use of schema changes is completely under the database ....

J. F. Roddick and R. T. Snodgrass. Schema Versioning. In The TSQL2 Temporal Query Language, pages 427--449. Kluwer, 1995.


A Semantic Approach for Schema Evolution and Versioning .. - Franconi, Grandi.. (2000)   (9 citations)  (Correct)

....and the change propagation, which refers to the effects on the underlying data instances. The former problem involves the checking and maintenance of schema consistency after changes, whereas the latter involves the consistency of extant data with the modified schema. In the relational field [26, 11], the two problems are solved by specifying a precise semantics of the schema changes at intensional and extensional levels, for example via algebraic operations on catalogue and base tables. However, the related consistency problems have not been considered so far. The correct use of schema ....

J. F. Roddick and R. T. Snodgrass. Schema Versioning. In The TSQL2 Temporal Query Language, pages 427--449. Kluwer, 1995.


Schema Evolution and Versioning: a Logical and.. - Franconi, Grandi.. (2000)   (2 citations)  (Correct)

....the change propagation, which refers to the e#ects on the underlying data instances. The former problem involves the checking and maintenance of schema consistency after changes, whereas the latter involves the consistency of extant data with the modified schema. In the object oriented field (see [27, 11] for the relational case) two main approaches were followed to ensure consistency in pursuing the semantics of change problem. The first approach is based on the adoption of invariants and rules, and has been used, for instance, in the ORION [4] and O 2 [12] systems. The second approach, which ....

J. F. Roddick and R. T. Snodgrass. Schema Versioning. In The TSQL2 Temporal Query Language. Kluwer, 1995.


ODMG language extensions for generalized schema versioning.. - Grandi, Mandreoli (1999)   (Correct)

....for schema modifications we require that only one schema version is selected, otherwise the statement is rejected and the transaction aborted; for retrievals several schema versions can qualify for temporal selection at the same time. In this case, retrievals can be based on a completed schema [10], derived from all the selected schema versions. Further details on multi schema query processing can be found, for instance, in [3, 9] The scope of a SET SCHEMA statement is, in any case, the transaction in which it is executed. Therefore, for transactions not containing any SET SCHEMA command, ....

J. F. Roddick and R. T. Snodgrass. Schema Versioning. In [11].


Supporting User-defined Granularities and.. - Supporting..   Self-citation (Snodgrass)   (Correct)

No context found.

J. F. Roddick and R. T. Snodgrass, "Schema Versioning," in The TSQL2 Temporal Query Language, R. T. Snodgrass, Ed. Boston: Kluwer Academic Publishers, 1995, pp. 427-449.


Capturing and Querying Multiple Aspects of Semistructured Data - Dyreson, Böhlen, Jensen (1998)   (8 citations)  Self-citation (Snodgrass)   (Correct)

....Chlorel supports a limited kind of temporal query, which lacks both coalescing and collapsing. We believe these operations are important to correctly supporting temporal semantics [BSS96] Temporal database research has traditionally separated meta data evolution (schema evolution, cf. Rod92, RS95a] from data evolution (transaction time databases, cf. JMR91, LS93, MS87, RS95b] A transactiontime database records the history of tuple transactions, independent of table level modifications. Schema evolution research on the other hand studies changes to the schema over time, independent of ....

J. F. Roddick and R. T. Snodgrass. Schema Versioning. In R. T. Snodgrass, editor, The TSQL2 Temporal Query Language, chapter 22, pages 427--449. Kluwer Academic Publishers, 1995.


Schema Evolution and Versioning: a Logical and.. - Franconi, Grandi.. (2000)   (2 citations)  (Correct)

No context found.

J. F. Roddick and R. T. Snodgrass. Schema Versioning. In The TSQL2 Temporal Query Language. Kluwer, 1995.


Schema Evolution and Versioning: a Logical and.. - Franconi, Grandi.. (2000)   (2 citations)  (Correct)

No context found.

J. F. Roddick and R. T. Snodgrass. Schema Versioning. In The TSQL2 Temporal Query Language. Kluwer, 1995.


Description of the Methodology for the Integration of Strongly . .. - Bergamaschi (2002)   (Correct)

No context found.

J. F. Roddick and R. T. Snodgrass. Schema Versioning. In The TSQL2 Temporal Query Language, pages 427-449. Kluwer Academic Publishers, 1995.


Schema Evolution and Versioning: a Logical and.. - Franconi, Grandi.. (2000)   (2 citations)  (Correct)

No context found.

J. F. Roddick and R. T. Snodgrass. Schema Versioning. In The TSQL2 Temporal Query Language, pages 427--449. Kluwer, 1995.

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