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We can use the TSER methodology to model both individual local application systems and
the global enterprise information systems. The data and knowledge modeled by TSER can
be populated into the metadatabase(including the rulebase ) according to the GIRD(Global
Information Resource Dictionary) schema.
We can use TSER to model the rules and use the rulebase model to store the rules in
metadatabase, but we also need to provide some facilities to support the execution of the
rules, not just representing and storing the rules. For the single local application system,
we need to provide facilities to automatically generate the executable code for each localrules based on the specific local DBMS and the metadata about the rules. For the enterprise
containing multiple local application systems, it’s impossible to directly generate the
executable code unless the real heterogeneous, distributed DBMS has emerged. ROPE
develops the local-shells technology to support the execution of the global-rules, but one of
the key element for global-rule execution is to decompose the global-rule into sub-rules to
maintain the precedence constraints among operations in the global-rule, [Babin 93] has
developed the decomposition algorithms and it needs to be implemented so that the ROPE
system can really work.
1.2 Project Goals and Significance
The goals of this project are as follows:
(1) Given the local-rules in TSER model and the metadata about the local-application
system, automatically generate the executable code for the execution of the local-rules based
on the local DBMS.
2