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AI approaches to the complexity of legal systems : complex systems, the semantic web, ontologies, argumentation, and dialogue : international workshops AICOL-I/IVR-XXIV, Beijing, China, September 19…

Overview of attention for book
Cover of 'AI approaches to the complexity of legal systems : complex systems, the semantic web, ontologies, argumentation, and dialogue : international workshops AICOL-I/IVR-XXIV, Beijing, China, September 19, 2009, and, AICOL-II/JURIX 200, Rotterdam, the Netherlands, December 16, 2009 : revised selected papers'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Complex Systems and Six Challenges for the Development of Law and the Semantic Web
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    Chapter 2 As Law Goes By: Topology, Ontology, Evolution
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    Chapter 3 Sailing the Semantic Seas by Structural Vessels: Problems and Perspectives for the Identification of Implicit Knowledge in the Legal Domain
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    Chapter 4 Network Analysis of the French Environmental Code
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    Chapter 5 Model Regularity of Legal Language in Active Modifications
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    Chapter 6 Traceability and Change in Legal Requirements Engineering
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    Chapter 7 When a FrameNet-Style Knowledge Description Meets an Ontological Characterization of Fundamental Legal Concepts
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    Chapter 8 Application of an Ontology-Based Model to a Selected Fraudulent Disbursement Economic Crime
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    Chapter 9 Multi-layer Markup and Ontological Structures in Akoma Ntoso
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    Chapter 10 Prescriptive and Descriptive Obligations in Dynamic Epistemic Deontic Logic
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    Chapter 11 Lex Minus Dixit Quam Voluit , Lex Magis Dixit Quam Voluit : A Formal Study on Legal Compliance and Interpretation
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    Chapter 12 Legal Electronic Institutions and ONTOMEDIA: Dialogue, Inventio, and Relational Justice Scenarios
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    Chapter 13 Mediation, ODR, and the Web 2.0: A Case for Relational Justice
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    Chapter 14 Legal “Neutral Dialogue”, Implementing the Work of Bruce Ackerman in the Field of Law
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    Chapter 15 Legal Multimedia Management through JPEG2000 Framework
Attention for Chapter 4: Network Analysis of the French Environmental Code
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Citations

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Chapter title
Network Analysis of the French Environmental Code
Chapter number 4
Book title
AI Approaches to the Complexity of Legal Systems. Complex Systems, the Semantic Web, Ontologies, Argumentation, and Dialogue
Published in
arXiv, January 2010
DOI 10.1007/978-3-642-16524-5_4
Book ISBNs
978-3-64-216523-8, 978-3-64-216524-5
Authors

Romain Boulet, Pierre Mazzega, Danièle Bourcier, Boulet, Romain, Mazzega, Pierre, Bourcier, Danièle

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 12%
Unknown 15 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 47%
Researcher 3 18%
Lecturer 1 6%
Lecturer > Senior Lecturer 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 2 12%
Readers by discipline Count As %
Social Sciences 7 41%
Computer Science 2 12%
Environmental Science 1 6%
Agricultural and Biological Sciences 1 6%
Mathematics 1 6%
Other 2 12%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 October 2018.
All research outputs
#15,506,823
of 23,045,021 outputs
Outputs from arXiv
#376,958
of 946,967 outputs
Outputs of similar age
#135,525
of 165,025 outputs
Outputs of similar age from arXiv
#421
of 623 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 946,967 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 165,025 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 623 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.