International Journal of Applied Information Systems |
Foundation of Computer Science (FCS), NY, USA |
Volume 7 - Number 3 |
Year of Publication: 2014 |
Authors: Gaurav Kant Shankhdhar, V. K. Singh, M. Darbari |
10.5120/ijais14-451165 |
Gaurav Kant Shankhdhar, V. K. Singh, M. Darbari . Legal Semantic Web- A Recommendation System. International Journal of Applied Information Systems. 7, 3 ( May 2014), 21-27. DOI=10.5120/ijais14-451165
The project Legal Semantic Web- A Recommendation System makes use of the Semantic Web and it is used for the proactive legal decision making. With the help of web semantics, a lawyer handling a new case can filter out similar cases from the court case repository implemented using RDF (Resource Description Framework), and from here he can extract the judgments done on those similar cases. In this way he can better prepare himself with similar judgments in his hands which will guide him to an improved argumentation. The role of web semantics here is that it introduces 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.