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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
  2. Altmetric Badge
    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
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
16 Mendeley
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Title
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
Published by
ADS, January 2010
DOI 10.1007/978-3-642-16524-5
ISBNs
978-3-64-216523-8, 978-3-64-216524-5
Authors

Casanovas Romeu, Pompeu

Editors

Casanovas, Pompeu, Pagallo, Ugo, Sartor, Giovanni, Ajani, Gianmaria

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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 13%
Student > Ph. D. Student 1 6%
Unknown 13 81%
Readers by discipline Count As %
Linguistics 1 6%
Computer Science 1 6%
Social Sciences 1 6%
Unknown 13 81%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 July 2020.
All research outputs
#7,060,851
of 24,996,701 outputs
Outputs from ADS
#7,901
of 37,353 outputs
Outputs of similar age
#43,953
of 175,215 outputs
Outputs of similar age from ADS
#236
of 809 outputs
Altmetric has tracked 24,996,701 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 37,353 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 78% 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 175,215 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 809 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.