Abstract
Everyone who works in the legal field is faced with the complexity of documentary sources of law, that are highly interrelated and interdependent of each others. It is essential for legal practitioners to rely on systems that retrieve all the sources related to the legal cases they are working on and not only the most relevant ones. The challenge for legal IR is to achieve exhaustivity and handle this complexity by retrieving documents on the basis of the semantic content and the intertextual relationships. This work proposes an IR approach for legal sources that goes beyond existing systems. It is based on Formal and Relational Concept Analysis to structure, query and browse collections of legal documents.
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Notes
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Lattices are build using Galicia platform [17].
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Various types of scaling can be defined but we rely only on the existential one here.
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If the query graph has a focus, the node corresponding to the first focus variable is chosen as root. Otherwise the root node is chosen arbitrarly.
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Acknowledgments
This work has been partially funded by the Légilocal project (French Single Inter-Ministry Fund, FUI-9, 2010–2013) and is supported by Labex EFL (French National Research Agency, ANR-10-LABX-0083).
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Mimouni, N., Nazarenko, A., Salotti, S. (2015). A Conceptual Approach for Relational IR: Application to Legal Collections. In: Baixeries, J., Sacarea, C., Ojeda-Aciego, M. (eds) Formal Concept Analysis. ICFCA 2015. Lecture Notes in Computer Science(), vol 9113. Springer, Cham. https://doi.org/10.1007/978-3-319-19545-2_19
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