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Answering Complex Queries on Legal Networks: A Direct and a Structured IR Approaches

  • Nada MimouniEmail author
  • Adeline Nazarenko
  • Sylvie Salotti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10791)

Abstract

This paper highlights the benefit of semantic information retrieval in legal networks. User queries get more complex when they combine constraints on semantic content and intertextual links between documents. Comparing two methods of search in legal collection networks, we present new functionalities of search and browsing. Relying on a structured representation of the collection graph, the first approach allows for approximate answers and knowledge discovery. The second one supports richer semantics and scalability but offers fewer search functionalities. We indicate how those approaches could be combined to get the best of both.

Keywords

Semantic information retrieval Legal collection graphs Exact answers Approximate search Knowledge discovery 

Notes

Acknowledgments

This work has been partially funded by French Single Inter-Ministry Fund (FUI-9, 2010–2013) and is supported by the Labex EFL supported by the French National Research Agency (ANR-10-LABX-0083).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Nada Mimouni
    • 1
    Email author
  • Adeline Nazarenko
    • 2
  • Sylvie Salotti
    • 2
  1. 1.Chair Governance Analytics, Université Paris Dauphine – PSLParisFrance
  2. 2.LIPN (UMR 7030), Université Paris 13 – Sorbonne Paris Cité & CNRSVilletaneuseFrance

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