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Kierman, J., de Maindreville, C., and Simon, E. The design and implementation of an extendible deductive database system. In 38.

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This paper is cited in the following contexts:
A Simulation Based Study on the Concurrent Execution of.. - Raschid, Sellis, Delis (1994)   (3 citations)  (Correct)

.... Production Language (RPL) it uses a variation of the Rete Network for a main memory implementation of a rule management system [10, 11] Finally, de Maindreville and Simon have proposed a production rule language, RDL1 [8] and examined an implementation that provides efficient execution [21]. 3.2. Parallelism in Production Rule Execution In an effort to improve the execution efficiency of production rules, there has been research in using parallelism to solve the task of searching the database and identifying applicable rules and executing their actions. A motivation for executing ....

Kierman, J., de Maindreville, C., and Simon, E. The design and implementation of an extendible deductive database system. In 38.


Rule Activation Techniques in Active Database Systems - Segev, Zhao (1996)   (1 citation)  (Correct)

....the database events, check conditions defined in the rules, and trigger actions when rule conditions are satisfied. Examples of active database systems include Postgres (Stonebraker et al. 1989) Starburst (Haas et al. 1990) Iris (Wilkinson et al. 1990) LDL (Chimenti et al. 1990) RDL1 (Kiernan et al. 1989), DIPS (Sellis et al. 1993) Ariel (Hanson, 1992) and DATEX (Brant and Miranker, 1993) All major commercial database systems also offer some active capability through triggers. Although we use the relational model and notations in this paper, the results of the analysis are useful in any ....

J. Kiernan, C. de Maindreville, and E. Simon. (1989). The design and implementation of an extendible deductive database system. ACM SIGMOD Record, 18(3), September.


Transaction Optimization in Rule Databases - Bertino, Catania, Guerrini.. (1994)   (1 citation)  (Correct)

....more user friendly and higher level than traditional programming and database languages. On the other side they extend the properties of relational domain calculus into a rule based language, adding to relational based languages inferential and reactive features. Many advanced database systems [9, 10, 12, 14, 15, 16] are based on rule languages. Moreover, current extensions to relational DBMS and object oriented DBMS also provide some rule capabilities. Indeed, rules represent a powerful and simple language to relate two situations: the cause and the effect. A rule can be seen as . This rule should be read as ....

J. Kiernan, C. De Maindreville, and E. Simon. The Design and Implementation of an Extendible Deductive Database System. , 18(3):68--77, September 1989.

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