A Recommendation System for Legal Semantic Web

Recommendation systems can take advantage of semantic reasoning-capabilities to overcome common limitations of current systems and improve the recommendations' quality. In this paper, we present a personalizedrecommendation system, a system that makes use of representations of items and user-profiles based on ontologies in order to provide semantic applications with personalized services. The absence of super ordinate authorities having full access and control introduces some serious issues requiring novel approaches and methods. The role of web semantics here is that we introduce intelligent matching of the court case details. The search is not only thorough but also accurate and precise to the maximum level of attainment with the use of ontology designed exclusively for this purpose.