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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

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

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

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6 Dimensions

Readers on

mendeley
15 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

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 27%
Student > Doctoral Student 3 20%
Researcher 2 13%
Student > Ph. D. Student 2 13%
Student > Bachelor 1 7%
Other 3 20%
Readers by discipline Count As %
Computer Science 6 40%
Social Sciences 4 27%
Business, Management and Accounting 1 7%
Environmental Science 1 7%
Economics, Econometrics and Finance 1 7%
Other 1 7%
Unknown 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#7,677,381
of 13,606,339 outputs
Outputs from ADS
#18,462
of 26,493 outputs
Outputs of similar age
#125,344
of 261,964 outputs
Outputs of similar age from ADS
#88
of 302 outputs
Altmetric has tracked 13,606,339 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,493 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 261,964 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 50% of its contemporaries.
We're also able to compare this research output to 302 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.