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This paper highlights the benefit of semantic information retrieval in legal networks. The needs analysis shows that user queries are often complex and involve both the semantic content and the intertextual links between documents. We propose two methods of search in legal collection graphs, conceptual and semantic, and describe the new functionalities of search and navigation offered by both approaches. The first approach is proposed as a heuristic method based on the formal representation of the collection to allow for approximate answers, when no exact ones are found, and to discover new hidden knowledge.
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