
AI Approaches to the Complexity of Legal Systems
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This book includes revised selected papers from five International Workshops on Artificial Intelligence Approaches to the Complexity of Legal Systems, AICOL VI to AICOL X, held during 2015-2017: AICOL VI in Braga, Portugal, in December 2015 as part of JURIX 2015; AICOL VII at EKAW 2016 in Bologna, Italy, in November 2016; AICOL VIII in Sophia Antipolis, France, in December 2016; AICOL IX at ICAIL 2017 in London, UK, in June 2017; and AICOL X as part of JURIX 2017 in Luxembourg, in December 2017.
The 37 revised full papers included in this volume were carefully reviewed and selected form 69 submissions. They represent a comprehensive picture of the state of the art in legal informatics. The papers are organized in six main sections: legal philosophy, conceptual analysis, and epistemic approaches; rules and norms analysis and representation;legal vocabularies and natural language processing; legal ontologies and semantic annotation; legal argumentation; and courts, adjudication and dispute resolution.
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Content
- Intro
- Preface
- Organization
- Contents
- Introduction: Legal and Ethical Dimensions of AI, NorMAS, and the Web of Data
- Abstract
- 1 Introduction
- 2 Architectural Challenges
- 3 Ethical and Legal Challenges: Device and Linked Democracy
- 4 Web of Data and Legal Analytics
- 5 On the Content of This Volume
- 5.1 Legal Philosophy, Conceptual Analysis, and Epistemic Approaches
- 5.2 Rules and Norms Analysis and Representation
- 5.3 Legal Vocabularies and Natural Language Processing
- 5.4 Legal Ontologies and Semantic Annotation
- 5.5 Legal Argumentation
- 5.6 Courts, Adjudication and Dispute Resolution
- Acknowledgments
- References
- Legal Philosophy, Conceptual Analysis, and Epistemic Approaches
- RoboPrivacy and the Law as "Meta-Technology"
- Abstract
- 1 Introduction
- 2 The Charge of Consumer and Service Robots
- 3 Private Expectations
- 4 Holders of Personal Data
- 5 How to Design Robots that Abide by the Law
- 6 Conclusions
- References
- Revisiting Constitutive Rules
- 1 Introduction
- 2 Relevant Literature
- 3 An Integrated Model for Constitutive Rules
- 3.1 Distinguishing Constitutive-Of and Constitutive-For
- 3.2 Constitutive Elements
- 3.3 Separating Static and Dynamic Aspects
- 4 Constitutive Dimensions of Institutional Power
- 5 On the Ontological Status of Constitution
- 6 Conclusion and Further Developments
- References
- The Truth in Law and Its Explication
- Abstract
- 1 Introduction
- 2 The Logical Structure of Legal Sentences and Its Representation
- 2.1 Legal Rule Sentences and Fact Sentences
- 2.2 Legal Element Sentences and Complex Sentences
- 2.3 Legal Object Sentences and Meta-sentences
- 3 The Logical Structure of Legal Reasoning
- 3.1 The Logical Structure of the Reasoning of Legal Justification
- 3.2 The Logical Structure of the Reasoning of Legal Creation
- 4 The Concepts of Truth in Law - Truth as Fact, as Validity and as Justice
- 4.1 The Truth as Fact
- 4.2 The Truth as Validity
- 4.3 The Truth as Justice
- 5 The Formal Semantic Foundation of the Concepts of Truth in Law
- 5.1 The Formal Semantic Definition of the Concept of Truth as Fact
- 5.2 The Formal Semantic Definition of the Concept of Truth as Validity
- 5.3 The Formal Semantic Definition of the Concept of Truth as Justice
- 6 The Ways to Explicate the Concepts of Truth in Law
- 6.1 The Intensional Explication of an Object
- 6.2 The Extensional Explication of an Object
- 6.3 The Mutual Relationship Between the Intensional and the Extensional Explication
- 6.4 The Explication of the Concept of Truth Itself or the Explication of True Legal Sentences?
- 6.5 The Way to Determine Valid Legal Sentences
- 6.6 The Way to Determine just or Unjust Legal Sentences
- 7 Conclusion
- Acknowledgements
- References
- From Words to Images Through Legal Visualization
- 1 Introduction
- 2 Research Scenario
- 3 Background
- 3.1 Legal Visualizations and Legal Design
- 3.2 Legal Visualizations and Legal Informatics
- 4 Legal Visualizations: From Representation to Interpretation
- 4.1 Communication, Design, Hermeneutics, and Visualizations
- 4.2 Machine-Readable Representation and Interpretation
- 4.3 Iconography, Legal Design and Interpretation
- 5 Suggestions for a Visual Legal Interpretation Framework
- 5.1 Moving Forward: Participation, Representativeness, Customization
- 5.2 A Methodology for Legal Visualizations
- 6 Conclusions and Future Work
- References
- Rules and Norms Analysis and Representation
- A Petri Net-Based Notation for Normative Modeling: Evaluation on Deontic Paradoxes
- 1 Introduction
- 2 Logic Programming Petri Nets
- 3 Deontic Exercises
- 3.1 Crossing or Not Crossing?
- 3.2 Gentle Murderer
- 3.3 White Fence
- 3.4 Privacy Act
- 3.5 Detachment Principles
- 3.6 Derived Obligation
- 3.7 Chisholm's Paradox
- 3.8 Residential Neighbourhood
- 4 Discussion and Further Developments
- A Formalization
- References
- Legal Patterns for Different Constitutive Rules
- Abstract
- 1 Introduction
- 1.1 Scope
- 2 Constitutive Rules
- 2.1 On the Constitutivity of Rules
- 2.2 Relative Necessities as Constitutive Statements
- 2.3 A Taxonomy of Constitutive Statements
- 2.4 Constitutive Rules for Compliance
- 3 Legal Concept Patterns
- 4 Legal Concept Patterns for Constitutive Rules
- 4.1 General Properties of a Constitutive Rule
- 4.2 The Legal Concept Pattern for Legal Definitions
- 4.3 The Legal Concept Pattern for Commencement Rules
- 4.4 The Legal Concept Pattern for Party-to-the-Law Statements
- 4.5 The Legal Concept Pattern for Relative Necessities
- 4.6 The Legal Concept Pattern for Amendments
- 4.7 Possibility Statements
- 5 Conclusions
- Acknowledgments
- References
- An Architecture for Establishing Legal Semantic Workflows in the Context of Integrated Law Enforcement
- Abstract
- 1 Introduction
- 2 Architectural Challenges
- 2.1 Data Integration and Matching
- 2.2 Meta-Data
- 2.3 Workflow Orchestration
- 3 Architectural Overview
- 3.1 Knowledge Hub Services
- 3.1.1 Data Stores
- 3.1.2 Ontology and Meta-Data
- 3.1.3 Query Services
- 3.2 Ingestion and Integration Services
- 3.3 Analytic Services
- 3.4 Automation Services
- 3.5 Security
- 3.6 Legal Workflow Processing
- 3.7 Example
- 4 Intention and Future Work
- References
- Contributions to Modeling Patent Claims When Representing Patent Knowledge
- Abstract
- 1 Introduction
- 2 The Structure of a Patent
- 2.1 The Structure of a Patent Claim
- 3 Claim Interpretation with the All-Element Rule
- 4 Relationship Among the Claims of a Patent
- 5 Patent Ontologies and Claims
- 5.1 Representing Patent Claim Information with WEB Semantics
- 5.2 Processing Claim Information with Description Logic
- 5.2.1 Discussion About Example 1 from Karam and Paschke [12]
- 5.2.2 Discussion About Example2 from Karam and Paschke [12]
- 6 Representing the All-Element Rule with Descriptive Logic and Deontic Logic
- 6.1 All-Element Rule in Description Logic
- 6.2 All-Element Rule in Standard Deontic Logic
- 7 A Practical Example
- 8 General Discussion
- 8.1 Prevalence of the All-Element Rule
- 9 Conclusion
- Acknowledgements
- References
- Modeling, Execution and Analysis of Formalized Legal Norms in Model Based Decision Structures
- 1 Introduction
- 2 Related Work
- 2.1 A Quick Glance at Legal Expert Systems
- 2.2 End-User Oriented Decision and Reasoning Systems
- 3 Model Based Formalization of Normative Regulations
- 3.1 The German Child Benefit Regulation
- 3.2 Model Based Formalization
- 4 The Model Based Legal Expert System
- 4.1 Executable Semantics of Legal Norms
- 4.2 Software Components of the Model Based Legal Expert System
- 4.3 Execution and Computation of Models in a Collaborative Environment
- 5 Analysis of Decision Structures for End-Users
- 5.1 Attribute-Based Dependency Trees
- 5.2 Interactive Data Flow Graphs
- 6 Conclusion
- References
- Causal Models of Legal Cases
- 1 Introduction
- 2 Background
- 2.1 Theories of Causation
- 2.2 The Althen's Case
- 3 Semi-formal Framework and Case Analysis
- 3.1 Semi-formal Framework
- 3.2 Models in the Language
- 3.3 The Arguments of the Expert Witnesses in Althen's
- 3.4 Preliminary Assessment
- 4 Causation and Burden of Proof
- 5 Conclusions and Future Work
- References
- Developing Rule-Based Expert System for People with Disabilities - The Case of Succession Law
- Abstract
- 1 Introduction
- 2 The Basic Assumptions of the Legal Expert System
- 3 Description of the Domain
- 4 Methodology
- 5 Expert System in Action
- 6 Conclusions
- References
- Legal Vocabularies and Natural Language Processing
- EuroVoc-Based Summarization of European Case Law
- 1 Introduction
- 2 Related Work
- 3 Multi-lingual Document Processing
- 3.1 NLP Components
- 3.2 EuroVoc
- 4 Summarization of Case Law
- 4.1 TextRank
- 4.2 EuroVoc Keyword Extraction
- 4.3 Sentence Extraction
- 5 Case Study
- 5.1 Results
- 5.2 Discussion
- 6 Conclusions
- References
- Towards Aligning legivoc Legal Vocabularies by Crowdsourcing
- Abstract
- 1 Introduction
- 2 Related Work
- 3 legivoc 1.0
- 3.1 User Interface and Capabilities
- 3.2 Technological Foundations
- 4 Alignment Management
- 4.1 Collecting Alignments
- 4.2 Using Alignments in legivoc
- 5 Using legivoc as a Web Service
- 6 Future Work
- 7 Conclusion
- Acknowledgments
- References
- Data Protection in Elderly Health Care Platforms
- 1 Introduction
- 2 The iGenda Example
- 3 The Data Protection Framework for AAL Systems
- 4 Legal Aspects for Data Storage
- 4.1 Health Data
- 4.2 Profiling
- 4.3 Data Access Feature
- 5 Technological Implementations
- 6 Conclusions
- References
- Assigning Creative Commons Licenses to Research Metadata: Issues and Cases
- Abstract
- 1 Introduction
- 2 Research Metadata Protocols and Practices
- 3 Current Use of Creative Commons (CC) Licenses in Research Metadata
- 4 Main Stakeholders
- 5 Applying Creative Commons Licenses to Research Metadata
- 6 Case Studies
- 6.1 CERN
- 6.2 da|ra
- 6.3 NCI
- 6.4 OpenAIRE
- 6.5 ResearchGraph
- 7 Conclusions and Future Work
- References
- Dataset Alignment and Lexicalization to Support Multilingual Analysis of Legal Documents
- Abstract
- 1 Introduction
- 2 Use-Case Scenarios
- 2.1 Semantic Integration
- 2.2 Natural Language Understanding
- 3 State of the Art on Linguistic Resources and Language Representation
- 4 The PMKI Project
- 5 Specific Actions with Reusable Outcomes in the Legal Domain
- 5.1 Comparative Study and Selection of Semantic Web Standards for Describing Multilingual Resources
- 5.2 Systems for Semantic and Lexical Integration of Multilingual Resources
- 5.3 Realization of Concrete Semantic Alignments and Lexical Enrichments and Assessing
- 6 Conclusions
- References
- A Multilingual Access Module to Legal Texts
- Abstract
- 1 Introduction
- 2 Background
- 3 The Ontology-Based Translation Module
- 3.1 Ontology-to-Text Relation
- 3.2 Implementation of the Ontology-Based Translation Module
- 4 Statistical Machine Translation Module
- 4.1 Used Corpora
- 4.2 Data Analysis
- 4.3 Translation Models
- 5 Integration and Evaluation of Both Models
- 6 Conclusions
- References
- Combining Natural Language Processing Approaches for Rule Extraction from Legal Documents
- 1 Introduction
- 2 Related Work
- 3 The Framework
- 3.1 Deontic Lightweight Ontology
- 3.2 Text Structure Lightweight Ontology
- 3.3 Extraction of Sentences
- 3.4 The Use of the Stanford NLP Library
- 3.5 Extraction of Terms
- 3.6 Annotation of Terms with Deontic Tags
- 3.7 Combination of Terms for Rule Definition
- 3.8 The Use of the CCG Parser
- 4 Evaluation
- 5 Concluding Remarks
- References
- Analysis of Legal References in an Emergency Legislative Setting
- 1 Introduction
- 2 Methodology
- 3 From Citations to Neutral References
- 3.1 Parser Outcome
- 4 Modificatory Relationship Analysis
- 5 Semantic References
- 6 Future Work
- 7 Conclusion
- References
- Legal Ontologies and Semantic Annotation
- Using Legal Ontologies with Rules for Legal Textual Entailment
- 1 Introduction
- 2 Related Work
- 3 Approach
- 3.1 Text Processing, Keywords, Triples, and Ontology Instantiation
- 3.2 Semantic Web Rule Language, Legal Rule Acquisition, Identification, and Execution
- 4 Results
- 5 Discussion
- References
- KR4IPLaw Judgment Miner - Case-Law Mining for Legal Norm Annotation
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Legal Norm Annotation
- 3.1 Introduction- Pragmatics
- 3.1.1 What Is the Relationship Between Case-Law and Statute Law?
- 3.2 Norm Annotation
- 4 KR4IPLaw System
- 5 KR4IPLaw Judgement Miner
- 6 Decision Model
- 7 Representation and Reasoning
- 8 Evaluation
- 8.1 Gold Standard
- 8.2 Precision and Recall
- 9 Conclusion
- References
- Towards Annotation of Legal Documents with Ontology Concepts
- 1 Introduction
- 2 Related Work
- 3 System Description
- 3.1 Document Representation
- 3.2 Concept Representation
- 3.3 Concept-Document Mapping
- 4 Evaluation
- 5 Conclusion
- References
- Reuse and Reengineering of Non-ontological Resources in the Legal Domain
- Abstract
- 1 Introduction
- 2 Specificities of NORs in the Legal Domain
- 2.1 Non-ontological Resources
- 2.2 Specificities of NORs in the Legal Domain
- 3 Methodological Reuse-Based Approaches on NORs
- 4 NORs Reuse and Engineering Processes
- 4.1 NORs Reuse Process
- 4.2 Non-ontological Resource Reengineering Process
- 5 Conclusion: Discussion and Lessons Learned
- References
- Ontology Modeling for Criminal Law
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Legal System and Criminal Law in Korea
- 3.1 The Differences Between Continental Law and Common Law
- 3.2 Characteristics of Criminal Law
- 3.3 Korean Anti-graft Act
- 4 Approach of Criminal Law Ontology
- 4.1 Criminal Law Ontology Construction
- 4.2 Judgment Rules of Criminal Law
- 5 Application to Anti-graft Act
- 5.1 Legal Domain Ontology Construction
- 5.2 Rules on Anti-graft Act Domain Ontology
- 6 Conclusion and Future Work
- References
- ContrattiPubblici.org, a Semantic Knowledge Graph on Public Procurement Information
- 1 Introduction
- 2 Related Works
- 3 Context and Data Source
- 3.1 Data Quality Issues
- 3.2 Ontology
- 4 Data Processing
- 4.1 Harvesting
- 4.2 Cleaning
- 4.3 Conversion to Linked Data
- 5 Results
- 6 Conclusions and Future Work
- References
- Application of Ontology Modularization for Building a Criminal Domain Ontology
- Abstract
- 1 Introduction
- 2 Ontology Modularization Challenges
- 3 Study Motivation
- 4 Ontology Modularization
- 4.1 What Is an Ontology Module?
- 4.2 Ontology Module Criteria
- 4.3 Ontology Module Classifications
- 4.4 Approaches of Ontology Modularization
- 5 Application of Ontology Modularization in the Legal Domain: CriMOnto
- 5.1 Upper Ontology Module
- 5.2 Core Ontology Module
- 5.3 Domain Ontology Module
- 5.4 Domain-Specific Ontology Module
- 5.5 Evaluation and Integration of Ontology Modules
- 6 Evaluation
- 7 Conclusion
- Acknowledgements
- References
- A Linked Data Terminology for Copyright Based on Ontolex-Lemon
- Abstract
- 1 Introduction
- 2 Motivation: Legal Term Banks as Linked Data
- 3 Linked Resources and Methodology
- 3.1 Publication Format
- 3.2 The Copyright Term Bank
- 3.3 Publication Format
- 4 Qualified Translations
- 5 Related Work
- 6 Conclusions and Future Work
- Acknowledgements
- References
- Legal Argumentation
- Anything You Say May Be Used Against You in a Court of Law
- 1 Introduction
- 2 Sub-framework Semantics
- 3 Argumentation of Judge vs Argumentation of Others
- 4 Argument Against the Agent
- 5 Related Work
- 6 Conclusion
- References
- A Machine Learning Approach to Argument Mining in Legal Documents
- 1 Introduction
- 2 Proposed Approach
- 3 AEI Preliminary Results
- 4 Conclusion and Future Works
- References
- Answering Complex Queries on Legal Networks: A Direct and a Structured IR Approaches
- 1 Introduction
- 2 Experimental Data
- 3 Modeling Legal Collections as Graphs
- 3.1 Direct Approach
- 3.2 Structured Approach
- 3.3 Comparaison
- 4 Exact Search in Collection Graphs
- 4.1 Structured Approach
- 4.2 Direct Approach
- 5 Browsing for Approximate Search and Knowledge Discovery
- 5.1 Exploration Facilities
- 5.2 Approximate Search: Examples
- 5.3 Knowledge Discovery: Examples
- 6 Related Work
- 7 Conclusion
- References
- Inducing Predictive Models for Decision Support in Administrative Adjudication
- 1 Introduction
- 2 Prediction in Law
- 3 Datasets
- 4 Prediction
- 4.1 Hierarchical Attention Networks
- 4.2 Support Vector Machine
- 4.3 Maximum Entropy Classification
- 5 Decision Support
- 5.1 Salient Fact Detection
- 5.2 User Interface for Decision Support
- 6 Summary and Future Work
- References
- Arguments on the Interpretation of Sources of Law
- Abstract
- 1 Introduction
- 2 Method
- 2.1 Interpreting Sources of Norms
- 2.2 Argument Schemes for Normative Systems
- 3 Case Study
- 3.1 Setting the Scene
- 3.2 Can an Objection Only Be Withdrawn in Writing, or Orally During a Hearing?
- 3.3 Is the Instruction 'Call in Case of an Objection' Contra Legem?
- 3.4 Reasons for Policy Change
- 4 Conclusion
- 5 Future Work
- References
- Courts, Adjudication and Dispute Resolution
- Dynamics of the Judicial Process by Defeater Activation
- 1 Introduction and Motivation
- 2 A Model of Abstract Argumentation Dynamics
- 2.1 Fundamentals for the Argumentation Framework
- 2.2 A Global Activating Approach
- 3 Dynamics of Judicial Procedures
- 3.1 An Example of Dynamics Through Appellate Instances
- 3.2 An Example of Dynamics on a Criminal Procedure
- 4 Conclusions, Related and Future Work
- References
- Claim Detection in Judgments of the EU Court of Justice
- 1 Introduction
- 2 Background
- 3 Corpus
- 3.1 Data Collection
- 3.2 Annotation Guidelines
- 4 Methods
- 5 Results
- 6 Conclusion
- References
- A Non-intrusive Approach to Measuring Trust in Opponents in a Negotiation Scenario
- 1 Introduction
- 2 Conflict and Conflict Handling Styles
- 3 Measuring Trust Using an Algorithmic Approach
- 4 Case-Study: A Negotiation Scenario
- 4.1 An Intelligent Conflict Support Environment
- 4.2 Experimental Set-Up
- 4.3 Results
- 5 Conclusion
- References
- Network, Visualization, Analytics. A Tool Allowing Legal Scholars to Experimentally Investigate EU Case Law
- 1 Introduction
- 2 Network Analysis and Law: Current Experiences and Future Challenges
- 3 The EuCaseNet Project
- 3.1 System Functionalities and Application Workflow
- 3.2 Architecture
- 3.3 Preliminary Experiments
- 4 Discussion and Future Work
- References
- Electronic Evidence Semantic Structure: Exchanging Evidence Across Europe in a Coherent and Consistent Way
- 1 Introduction
- 2 Some Electronic Evidence Issues
- 3 Preliminary Remarks on the Concept of ``Electronic Evidence''
- 4 The Electronic Evidence Life Cycle
- 5 EVIDENCE Semantic Structure: An Overview
- 6 EVIDENCE Semantic Structure Development: Methodology
- 6.1 Extraction of Relevant Concepts
- 6.2 Choice of a Standard Way to Represent and Support The categorization Activities
- 7 Conclusions
- References
- Author Index
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