Supreme court sentences retrieval using Thai law ontology

Tanapon Tantisripreecha; Nuanwan Soonthornphisaj

doi:10.1007/978-94-007-0286-8_15

Supreme court sentences retrieval using Thai law ontology

Tanapon Tantisripreecha
, Nuanwan Soonthornphisaj

Kasetsart University

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

2 Citations (Scopus)

Abstract

This paper presents an improvement of our approach called SCRO-II algorithm. SCRO-I algorithm was initially developed in order to retrieve a set of Supreme Court sentences. The goal of SCRO-I is to provide different law issues among those retrieved documents. We create a new ontology using different semantics to study their performances based on diversity measurement. The contribution of this new ontology is compared to the traditional one. A new procedure is embedded in SCRO-II algorithm to identify a set of synonyms and relations. The experiments were done on Thai Succession Law and Bill of Exchange Law. The experimental results show that SCRO-II outperforms SCRO-I algorithm in both data sets.

Original language	English
Title of host publication	Intelligent Control and Computer Engineering
Pages	177-189
Number of pages	13
DOIs	https://doi.org/10.1007/978-94-007-0286-8_15
Publication status	Published - 2011
Externally published	Yes
Event	International Conference on Advances in Intelligent Control and Computer Engineering - Hong Kong, Hong Kong Duration: 17 Mar 2010 → 19 Mar 2010

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	70 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Advances in Intelligent Control and Computer Engineering
Country/Territory	Hong Kong
City	Hong Kong
Period	17/03/10 → 19/03/10

Keywords

Ontology
Retrieval
Supreme Court sentences
Thai succession law

Access to Document

10.1007/978-94-007-0286-8_15

Cite this

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title = "Supreme court sentences retrieval using Thai law ontology",

abstract = "This paper presents an improvement of our approach called SCRO-II algorithm. SCRO-I algorithm was initially developed in order to retrieve a set of Supreme Court sentences. The goal of SCRO-I is to provide different law issues among those retrieved documents. We create a new ontology using different semantics to study their performances based on diversity measurement. The contribution of this new ontology is compared to the traditional one. A new procedure is embedded in SCRO-II algorithm to identify a set of synonyms and relations. The experiments were done on Thai Succession Law and Bill of Exchange Law. The experimental results show that SCRO-II outperforms SCRO-I algorithm in both data sets.",

keywords = "Ontology, Retrieval, Supreme Court sentences, Thai succession law",

author = "Tanapon Tantisripreecha and Nuanwan Soonthornphisaj",

year = "2011",

doi = "10.1007/978-94-007-0286-8\_15",

language = "English",

isbn = "9789400702851",

series = "Lecture Notes in Electrical Engineering",

pages = "177--189",

booktitle = "Intelligent Control and Computer Engineering",

note = "International Conference on Advances in Intelligent Control and Computer Engineering ; Conference date: 17-03-2010 Through 19-03-2010",

}

Tantisripreecha, T & Soonthornphisaj, N 2011, Supreme court sentences retrieval using Thai law ontology. in Intelligent Control and Computer Engineering. Lecture Notes in Electrical Engineering, vol. 70 LNEE, pp. 177-189, International Conference on Advances in Intelligent Control and Computer Engineering, Hong Kong, Hong Kong, 17/03/10. https://doi.org/10.1007/978-94-007-0286-8_15

TY - GEN

T1 - Supreme court sentences retrieval using Thai law ontology

AU - Tantisripreecha, Tanapon

AU - Soonthornphisaj, Nuanwan

PY - 2011

Y1 - 2011

N2 - This paper presents an improvement of our approach called SCRO-II algorithm. SCRO-I algorithm was initially developed in order to retrieve a set of Supreme Court sentences. The goal of SCRO-I is to provide different law issues among those retrieved documents. We create a new ontology using different semantics to study their performances based on diversity measurement. The contribution of this new ontology is compared to the traditional one. A new procedure is embedded in SCRO-II algorithm to identify a set of synonyms and relations. The experiments were done on Thai Succession Law and Bill of Exchange Law. The experimental results show that SCRO-II outperforms SCRO-I algorithm in both data sets.

AB - This paper presents an improvement of our approach called SCRO-II algorithm. SCRO-I algorithm was initially developed in order to retrieve a set of Supreme Court sentences. The goal of SCRO-I is to provide different law issues among those retrieved documents. We create a new ontology using different semantics to study their performances based on diversity measurement. The contribution of this new ontology is compared to the traditional one. A new procedure is embedded in SCRO-II algorithm to identify a set of synonyms and relations. The experiments were done on Thai Succession Law and Bill of Exchange Law. The experimental results show that SCRO-II outperforms SCRO-I algorithm in both data sets.

KW - Ontology

KW - Retrieval

KW - Supreme Court sentences

KW - Thai succession law

UR - https://www.scopus.com/pages/publications/78651570437

U2 - 10.1007/978-94-007-0286-8_15

DO - 10.1007/978-94-007-0286-8_15

M3 - Conference contribution

AN - SCOPUS:78651570437

SN - 9789400702851

T3 - Lecture Notes in Electrical Engineering

SP - 177

EP - 189

BT - Intelligent Control and Computer Engineering

T2 - International Conference on Advances in Intelligent Control and Computer Engineering

Y2 - 17 March 2010 through 19 March 2010

ER -

Supreme court sentences retrieval using Thai law ontology

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Keywords

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