Metadata for Content Description In Legal Information
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
Ontology Matching
Merging of legal micro-ontologies from Europen directives
Artificial Intelligence and Law - Legal knowledge extraction and searching & legal ontology applications
MetaLex XML and the Legal Knowledge Interchange Format
Computable Models of the Law
Expert Systems with Applications: An International Journal
LKIF Core: Principled Ontology Development for the Legal Domain
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
Introducing pattern-based design for legal ontologies
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
Ontological analysis of taxonomic relationships
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Open Government: Collaboration, Transparency, and Participation in Practice
Open Government: Collaboration, Transparency, and Participation in Practice
Multi-layer markup and ontological structures in Akoma Ntoso
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
Semantic Web
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This paper presents ALLOT, an ontology based on Akoma Ntoso to describe entities referenced in legal documents. The focus is on the use of ALLOT to bridge heterogeneous knowledge bases. We present some experiments in integrating heterogeneous legal datasets through ALLOT. We also discuss the lessons learned in the development of this ontology, lessons that can highlight some issues with the current landscape of legal formats and data.