A Temporal FRBR/FRBRoo-Based Model for Component-Level Versioning of Legal Norms
Hudson de Martim·June 09, 2025
Summary
A temporal model extends FRBRoo for legal norms' versioning, addressing foundational framework gaps. It introduces specialized subclasses for representing states and linguistic variations, enabling precise historical text retrieval. Using the Brazilian Federal Constitution as a case study, the model enhances legal information systems, knowledge graphs, and AI tools. It overcomes limitations in current generative models, offering a fine-grained, time-aware architecture for legal text evolution analysis and impact assessment.
Introduction
Background
Overview of FRBRoo (Functional Requirements for Bibliographic Records)
Gaps in the foundational framework for legal norms
Objective
To present a temporal model that addresses the gaps in FRBRoo for legal norms' versioning
Method
Data Collection
Sources of legal norms data
Methods for collecting historical versions of legal texts
Data Preprocessing
Techniques for standardizing and organizing legal text data
Handling linguistic variations and states in legal norms
Model Development
Designing specialized subclasses for states and linguistic variations
Implementation of a time-aware architecture for legal text evolution
Case Study: Brazilian Federal Constitution
Application of the temporal model to the Brazilian Federal Constitution
Analysis of historical text retrieval and versioning
Results
Enhanced Legal Information Systems
Improved functionality and accuracy in legal information retrieval
Knowledge Graphs and AI Tools
Integration of the temporal model into knowledge graphs and AI applications
Enhanced capabilities for legal text analysis and prediction
Overcoming Limitations in Generative Models
Comparison with current generative models in legal text processing
Demonstration of the temporal model's superiority in handling legal text evolution
Conclusion
Theoretical Contributions
Advancements in the representation of legal norms over time
Practical Implications
Impact on legal research, policy-making, and compliance
Future Work
Potential extensions and applications of the temporal model
Research directions for further development and integration
Basic info
papers
information retrieval
artificial intelligence
Advanced features
Insights
What are the key advantages of the proposed model compared to current generative models in the context of legal text analysis?
How does the temporal model represent states and linguistic variations of legal norms, and what is the benefit of this representation?
What is the primary objective of the temporal model proposed in this paper, and what foundational framework does it extend?
What specific limitations of current generative models does the proposed temporal model aim to overcome in the analysis of legal text evolution?