Building Semantic Information Retrieval System for Legal Cases From Heterogeneous Adapted and Diverse Data Sources Using Extended GAIA Methodology for Multi Agent System

摘要

The author here intends to devise a solution to the limitation of a legal based system. There are several legal based system available but having all the other features of a legal Retrieval system lack agent based methodology. In this paper the Legal Domain is considered as a case study and by means of GAIA extension, a full workout for agent development to infer, extract and retrieve Legal Information from disparate knowledge sources.