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Legal Semantic Web- A Recommendation System

Gaurav Kant Shankhdhar, V. K. Singh, M. Darbari Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2014
© 2013 by IJAIS Journal
10.5120/ijais14-451165
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  1. Gaurav Kant Shankhdhar, V K Singh and M Darbari. Article: Legal Semantic Web- A Recommendation System. International Journal of Applied Information Systems 7(3):21-27, May 2014. BibTeX

    @article{key:article,
    	author = "Gaurav Kant Shankhdhar and V. K. Singh and M. Darbari",
    	title = "Article: Legal Semantic Web- A Recommendation System",
    	journal = "International Journal of Applied Information Systems",
    	year = 2014,
    	volume = 7,
    	number = 3,
    	pages = "21-27",
    	month = "May",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

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.

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Keywords

Legal Web, Legal Decision Making, Legal Ontology, Law Search.