Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach

Bola Abimbola; Qing Tan; José Ramón Villar

doi:10.1007/978-3-031-18050-7_57

Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach

Bola Abimbola
, Qing Tan
, José Ramón Villar

School of Computing and Information systems

University of Oviedo

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The use of machine learning and semantic analysis in case law is the new trend in modern society. Case Based Reasoning tools are being used to analyze texts in courts to make and predict judicial decisions which are designed to base the outcomes of current court proceedings from past and or learning from the mistakes to make better decisions. Because of the accuracy and speed of this technology, researchers in the justice system have introduced Machine Learning to optimize the Case-Based Researching approach. This paper presents a study aimed to critically analyze semantic analysis in the context of machine learning and proposes a case-based reasoning information retrieval system. It will explore how CBR-IR is being used to improve legal case law information retrieval. The study covers the importance of semantic analysis. The study will discuss limitations and recommendations for improvement and future research. The study recommends that it is necessary to conduct further research in semantic analysis and how they can be used to improve information retrieval of Canadian maritime case law.

Original language	English
Title of host publication	17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Proceedings
Editors	Pablo García Bringas, Hilde Pérez García, Francisco Javier Martinez-de-Pison, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Alvaro Herrero, Francisco Martínez Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodriguez
Pages	587-595
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-031-18050-7_57
Publication status	Published - 2023
Event	17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022 - Salamanca, Spain Duration: 5 Sep. 2022 → 7 Sep. 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	531 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022
Country/Territory	Spain
City	Salamanca
Period	5/09/22 → 7/09/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Access to Document

10.1007/978-3-031-18050-7_57

Cite this

Abimbola, B., Tan, Q., & Villar, J. R. (2023). Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach. In P. García Bringas, H. Pérez García, F. J. Martinez-de-Pison, J. R. Villar Flecha, A. Troncoso Lora, E. A. de la Cal, A. Herrero, F. Martínez Álvarez, G. Psaila, H. Quintián, & E. S. Corchado Rodriguez (Eds.), 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Proceedings (pp. 587-595). (Lecture Notes in Networks and Systems; Vol. 531 LNNS). https://doi.org/10.1007/978-3-031-18050-7_57

Abimbola, Bola ; Tan, Qing ; Villar, José Ramón. / Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law : Case Based Reasoning Approach. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Proceedings. editor / Pablo García Bringas ; Hilde Pérez García ; Francisco Javier Martinez-de-Pison ; José Ramón Villar Flecha ; Alicia Troncoso Lora ; Enrique A. de la Cal ; Alvaro Herrero ; Francisco Martínez Álvarez ; Giuseppe Psaila ; Héctor Quintián ; Emilio S. Corchado Rodriguez. 2023. pp. 587-595 (Lecture Notes in Networks and Systems).

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title = "Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach",

abstract = "The use of machine learning and semantic analysis in case law is the new trend in modern society. Case Based Reasoning tools are being used to analyze texts in courts to make and predict judicial decisions which are designed to base the outcomes of current court proceedings from past and or learning from the mistakes to make better decisions. Because of the accuracy and speed of this technology, researchers in the justice system have introduced Machine Learning to optimize the Case-Based Researching approach. This paper presents a study aimed to critically analyze semantic analysis in the context of machine learning and proposes a case-based reasoning information retrieval system. It will explore how CBR-IR is being used to improve legal case law information retrieval. The study covers the importance of semantic analysis. The study will discuss limitations and recommendations for improvement and future research. The study recommends that it is necessary to conduct further research in semantic analysis and how they can be used to improve information retrieval of Canadian maritime case law.",

author = "Bola Abimbola and Qing Tan and Villar, \{Jos{\'e} Ram{\'o}n\}",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022 ; Conference date: 05-09-2022 Through 07-09-2022",

year = "2023",

doi = "10.1007/978-3-031-18050-7\_57",

language = "English",

isbn = "9783031180491",

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editor = "\{Garc{\'i}a Bringas\}, Pablo and \{P{\'e}rez Garc{\'i}a\}, Hilde and Martinez-de-Pison, \{Francisco Javier\} and \{Villar Flecha\}, \{Jos{\'e} Ram{\'o}n\} and \{Troncoso Lora\}, Alicia and \{de la Cal\}, \{Enrique A.\} and Alvaro Herrero and \{Mart{\'i}nez {\'A}lvarez\}, Francisco and Giuseppe Psaila and H{\'e}ctor Quinti{\'a}n and \{Corchado Rodriguez\}, \{Emilio S.\}",

booktitle = "17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Proceedings",

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Abimbola, B, Tan, Q & Villar, JR 2023, Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach. in P García Bringas, H Pérez García, FJ Martinez-de-Pison, JR Villar Flecha, A Troncoso Lora, EA de la Cal, A Herrero, F Martínez Álvarez, G Psaila, H Quintián & ES Corchado Rodriguez (eds), 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Proceedings. Lecture Notes in Networks and Systems, vol. 531 LNNS, pp. 587-595, 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Salamanca, Spain, 5/09/22. https://doi.org/10.1007/978-3-031-18050-7_57

Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach. / Abimbola, Bola; Tan, Qing; Villar, José Ramón.
17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Proceedings. ed. / Pablo García Bringas; Hilde Pérez García; Francisco Javier Martinez-de-Pison; José Ramón Villar Flecha; Alicia Troncoso Lora; Enrique A. de la Cal; Alvaro Herrero; Francisco Martínez Álvarez; Giuseppe Psaila; Héctor Quintián; Emilio S. Corchado Rodriguez. 2023. p. 587-595 (Lecture Notes in Networks and Systems; Vol. 531 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

TY - GEN

T1 - Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law

T2 - 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022

AU - Abimbola, Bola

AU - Tan, Qing

AU - Villar, José Ramón

PY - 2023

Y1 - 2023

N2 - The use of machine learning and semantic analysis in case law is the new trend in modern society. Case Based Reasoning tools are being used to analyze texts in courts to make and predict judicial decisions which are designed to base the outcomes of current court proceedings from past and or learning from the mistakes to make better decisions. Because of the accuracy and speed of this technology, researchers in the justice system have introduced Machine Learning to optimize the Case-Based Researching approach. This paper presents a study aimed to critically analyze semantic analysis in the context of machine learning and proposes a case-based reasoning information retrieval system. It will explore how CBR-IR is being used to improve legal case law information retrieval. The study covers the importance of semantic analysis. The study will discuss limitations and recommendations for improvement and future research. The study recommends that it is necessary to conduct further research in semantic analysis and how they can be used to improve information retrieval of Canadian maritime case law.

AB - The use of machine learning and semantic analysis in case law is the new trend in modern society. Case Based Reasoning tools are being used to analyze texts in courts to make and predict judicial decisions which are designed to base the outcomes of current court proceedings from past and or learning from the mistakes to make better decisions. Because of the accuracy and speed of this technology, researchers in the justice system have introduced Machine Learning to optimize the Case-Based Researching approach. This paper presents a study aimed to critically analyze semantic analysis in the context of machine learning and proposes a case-based reasoning information retrieval system. It will explore how CBR-IR is being used to improve legal case law information retrieval. The study covers the importance of semantic analysis. The study will discuss limitations and recommendations for improvement and future research. The study recommends that it is necessary to conduct further research in semantic analysis and how they can be used to improve information retrieval of Canadian maritime case law.

UR - https://www.scopus.com/pages/publications/85141727027

U2 - 10.1007/978-3-031-18050-7_57

DO - 10.1007/978-3-031-18050-7_57

M3 - Published Conference contribution

AN - SCOPUS:85141727027

SN - 9783031180491

T3 - Lecture Notes in Networks and Systems

SP - 587

EP - 595

BT - 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Proceedings

A2 - García Bringas, Pablo

A2 - Pérez García, Hilde

A2 - Martinez-de-Pison, Francisco Javier

A2 - Villar Flecha, José Ramón

A2 - Troncoso Lora, Alicia

A2 - de la Cal, Enrique A.

A2 - Herrero, Alvaro

A2 - Martínez Álvarez, Francisco

A2 - Psaila, Giuseppe

A2 - Quintián, Héctor

A2 - Corchado Rodriguez, Emilio S.

Y2 - 5 September 2022 through 7 September 2022

ER -

Abimbola B, Tan Q, Villar JR. Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach. In García Bringas P, Pérez García H, Martinez-de-Pison FJ, Villar Flecha JR, Troncoso Lora A, de la Cal EA, Herrero A, Martínez Álvarez F, Psaila G, Quintián H, Corchado Rodriguez ES, editors, 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2022, Proceedings. 2023. p. 587-595. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-18050-7_57

Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach

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