Automated Detection of Reference Structures in Law

  • Authors:

  • Emile de Maat;Radboud Winkels;Tom van Engers

  • Affiliations:

  • Leibniz Center for Law, University of Amsterdam;Leibniz Center for Law, University of Amsterdam;Leibniz Center for Law, University of Amsterdam

  • Venue:
  • Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
  • Year:
  • 2006

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Abstract

Combining legal content stores of different providers is usually time, effort and money intensive due to the usually 'hard-wired' links between different parts of the constituting sources within those stores. In practice users of legal content are confronted with a vendor lock-in situation and have to find work-arounds when they want to combine their own content with the content provided by others. In the BSN project we developed a parser that enables the creation of a referential structure on top of a legal content store. We empirically tested the parsers' effectiveness and found an over 95% accuracy even for complex references.