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)


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.


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



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).


  1. 1.
    Amardeilh, F., et al.: The légilocal project: the local law simply shared. In: Legal Knowledge and Information Systems - JURIX 2013: The Twenty-Sixth Annual Conference, University of Bologna, Italy, 11–13 December 2013, pp. 11–14 (2013)Google Scholar
  2. 2.
    Fowler, J.H., Johnson, T.R., Spriggs, J.F., Jeon, S., Wahlbeck, P.J.: Network analysis and the law: measuring the legal importance of precedents at the U.S. supreme court. Polit. Anal. 15, 324–346 (2007)CrossRefGoogle Scholar
  3. 3.
    Gultemen, D., van Engers, T.: Graph-based linking and visualization for legislation documents (GLVD). In: Network Analysis in Law Workshop (NAiL2013@ICAIL) associated with ICAIL 2013, Rome, Italy, June 2013Google Scholar
  4. 4.
    Rouane-Hacene, M., Valtchev, P., Nkambou, R.: Supporting ontology design through large-scale FCA-based ontology restructuring. In: Andrews, S., Polovina, S., Hill, R., Akhgar, B. (eds.) ICCS 2011. LNCS (LNAI), vol. 6828, pp. 257–269. Springer, Heidelberg (2011). Scholar
  5. 5.
    Mimouni, N., Nazarenko, A., Paul, È., Salotti, S.: Towards graph-based and semantic search in legal information access systems. In: Legal Knowledge and Information Systems - JURIX 2014, Krakow, Poland. Frontiers in Artificial Intelligence and Applications, vol. 271, pp. 163–168. IOS Press (2014)Google Scholar
  6. 6.
    Mimouni, N., Nazarenko, A., Salotti, S.: A conceptual approach for relational IR: application to legal collections. In: Baixeries, J., Sacarea, C., Ojeda-Aciego, M. (eds.) ICFCA 2015. LNCS (LNAI), vol. 9113, pp. 303–318. Springer, Cham (2015). Scholar
  7. 7.
    Boulet, R., Mazzega, P., Bourcier, D.: A network approach to the French system of legal codes- part i: analysis of a dense network. J. Artif. Intell. Law 19, 333–355 (2011)CrossRefGoogle Scholar
  8. 8.
    Rubin, R.: Foundations of Library and Information Science. Neal-Schuman Publishers, Chicago (2010)Google Scholar
  9. 9.
    Winkels, R., Boer, A., Plantevin, I.: Creating context networks in Dutch legislation. In: Legal Knowledge and Information Systems - JURIX 2013, Italy. Frontiers in Artificial Intelligence and Applications, vol. 259, pp. 155–164. IOS Press (2013)Google Scholar
  10. 10.
    Winkels, R., de Ruyter, J.: Survival of the fittest: network analysis of dutch supreme court cases. In: Palmirani, M., Pagallo, U., Casanovas, P., Sartor, G. (eds.) AICOL 2011. LNCS (LNAI), vol. 7639, pp. 106–115. Springer, Heidelberg (2012). Scholar
  11. 11.
    Wray, T., Eklund, P.: Exploring the information space of cultural collections using formal concept analysis. In: Valtchev, P., Jäschke, R. (eds.) ICFCA 2011. LNCS (LNAI), vol. 6628, pp. 251–266. Springer, Heidelberg (2011). Scholar

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

Personalised recommendations