Database Independent Analysis of Adverse Events Using Rule-Based Systems

Abstract

Governments and enterprises need to make decisions and generate reports following the defined regulations and other legislative & normative documents. This is why the decision makers of the public & private agencies analyze the data that are stored mostly in (relational) databases from different service-oriented applications. Separate services and domains generate a different type of databases, which create significant challenges to generate simultaneous reasoning from different databases since these databases may consist of different attributes. In this paper, we present a database independent Rule-based reporting systems (RuleRS) architecture, which integrates multiple databases, in particular, multiple (relational) databases, with a rule reasoner and a rule engine to support producing decisions and generating reports simultaneously according to defined legal norms. We argue that the resulting RuleRS provide an efficient and flexible solution to the problem at hand for reasoning using defeasible inference. Experimental evaluations of RuleRS performance are also conducted for simultaneous reasoning from multiple relational databases.