Analytic hierarchy process integrated hybrid agent system for intelligent legal assistance

Abstract

Legal systems developed around the world tend to be very complex in the eyes of a common man with no idea as to how to approach a judiciary seeking justice or exhibiting his right to information about a particular law. Mostly a man with a need for judicial assistance approaches with an advocate to deal with his case, but this may not be useful when a person is interested in knowing and applying the exact law approach to petty issues in his life and also to avoid being a scapegoat at sometimes by few advocates who elongates the case system for his benefits. The proposed approach has an intelligent hybrid agent system composed of two subsystems, law gatherer and law decider to address the two key issues, finding out right laws and making a right choice. The law gatherer subsystem is based on the ontology web service architecture to define the ontology which is used for processing the semantic content of gathered law information. The law gatherer subsystem is composed of a knowledge system that combines Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR). Simple Object Access protocol (SOAP) is used for establishing the communication interface and gathering XML-based contents between the agent system and the database system created, through remote procedure calls with condition parameters. In the second subsystem Law Decider, the Analytic Hierarchy Process which is a structured technique for dealing with complex decisions is used to make an optimal decision for satisfying the case structure of the individual. The proposed Hybrid agent system will assist the people with no judicial knowledge to feed their case details into the system to get the appropriate law suitable for that particular instance.