基于规则的数据收集研究

Research on rule-based data collection

企业的业务子系统繁多、数据结构复杂,导致对企业基础数据的再利用十分困难,从根本上体现为跨系统的数据收集困难。为此提出基于规则的数据收集策略,将数据收集过程分成“共性”和“特性”两种情况。对于“共性”的情况,提炼出若干规则,并形成规则集;对于“特性”的情况,将其开放出来便于定制开发。在实际应用中,利用其规则集组合实现复杂环境下(多应用系统)的数据收集。

Reusing the original data of enterprise, essentially, collecting them, is very difficult because they are stored in different application systems and their structures are heterogeneous. An approach of data collection based on rule is proposed, in which the data collection process is looked as two cases： Common case and special case, Common case is abstracted into various rules, and then rule set is come into being. And special case is opened to customization development, In practice, the rule set is assembled to realize data collection in complex environment including many application systems.