Toward measures of complexity in legal systems
Proceedings of the 11th international conference on Artificial intelligence and law
Legal metadata interchange framework to match CEN metalex
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Legal text analysis of the modification provisions: a pattern oriented approach
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Legal Change Management with a Native XML Repository
Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
Semantic annotation, indexing, and retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
A proposal for combining formal concept analysis and description logics for mining relational data
ICFCA'07 Proceedings of the 5th international conference on Formal concept analysis
Network analysis of the French environmental code
AICOL-I/IVR-XXIV'09 Proceedings of the 2009 international conference on AI approaches to the complexity of legal systems: complex systems, the semantic web, ontologies, argumentation, and dialogue
Model regularity of legal language in active modifications
AICOL-I/IVR-XXIV'09 Proceedings of the 2009 international conference on AI approaches to the complexity of legal systems: complex systems, the semantic web, ontologies, argumentation, and dialogue
Legislative XML for the Semantic Web: Principles, Models, Standards for Document Management
Legislative XML for the Semantic Web: Principles, Models, Standards for Document Management
Formal Concept Analysis: foundations and applications
Formal Concept Analysis: foundations and applications
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In the information retrieval (IR) domain a collection of documents is represented as a set of documents where cross references between documents are usually not taken into account in the querying process. This standard document model is not tailored to legal professional uses where the context of interpretation is crucial. Existing access tools do not take into account the complexity of references between legal documents. XML based standards have been created to facilitate access and management of legal data. Their exploitation for IR purposes offers new possibilities for advanced search techniques. In this work, we propose a novel approach allowing to exploit the XML standard formats of legal documents to query a collection of related documents and return relevant answers to the end-user. We consider exploiting at the same time the semantic content of the documents and their interrelationships using Formal and Relational Concept Analysis. Answers are presented as documents or graphs of interlinked documents.