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Abstract: f g ! ! ! LDL Cause Effect 1 Introduction ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; E. Bertino B. Catania G. Guerrini D. Montesi Transaction Optimization in Rule Databases bertino,catania,guerrini @disi.unige.it cause effect query update update query update update query query B 1 Bn H B 1 Bn INS 1 INS k DEL k 1 DEL t H INS 1 INS k DEL k 1 DEL t B 1 Bn H B 1 Bn In the tradition of declarative rules (which we will follow) the above rule is represented as . . . . A first version of the language has... (Update)
Context of citations to this paper: More
...database language, equipped with an efficient implementation. We are currently developing several optimization techniques for U Datalog [9] that will lead to an optimized U Datalog interpreter and therefore to an optimized Obj U Datalog interpreter. An alternative...
...executions by means of transaction and database transformations. Transaction optimization through static analysis has been developed in [7, 8]. A second extension is towards a more general data model such as object oriented in the deductive context [9, 11] Finally, other...
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BibTeX entry: (Update)
E. Bertino, B. Catania, G. Guerrini, and D. Montesi. Transaction Optimization in Rule Databases. In J. Widom and S. Chakravarthy, editors, Proc. Research Issues in Data Engineering - Active Database Systems Workshop, 1994. http://citeseer.ist.psu.edu/bertino94transaction.html More
@inproceedings{ bertino94transaction,
author = "Elisa Bertino and Barbara Catania and Giovanna Guerrini and Danilo Montesi",
title = "Transaction Optimization in Rule Databases",
booktitle = "{RIDE}-{ADS}",
pages = "137-145",
year = "1994",
url = "citeseer.ist.psu.edu/bertino94transaction.html" }
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