Publication: Sentence identification system based on criminal law ontology
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Issued Date
2017-09-02
Resource Type
ISSN
13646885
13600869
13600869
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2-s2.0-85015877399
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Mahidol University
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SCOPUS
Bibliographic Citation
International Review of Law, Computers and Technology. Vol.31, No.3 (2017), 308-322
Suggested Citation
Sotarat Thammaboosadee, Supaporn Kiattisin, Smitti Darakorn, Bunthit Watanapa Sentence identification system based on criminal law ontology. International Review of Law, Computers and Technology. Vol.31, No.3 (2017), 308-322. doi:10.1080/13600869.2017.1304615 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/42329
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Title
Sentence identification system based on criminal law ontology
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Abstract
© 2017 Informa UK Limited, trading as Taylor & Francis Group. In this research, an identification system is proposed for the benefit of determining a possible sentence and retrieving the related cases under criminal law codes of Thailand. The system is based on the developed criminal law ontology for the advantage of structuralizing and semanticizing in selected articles. From the underlying legal elements described in law codes textually, the ontology shall provide the determination of possible sentences which consist of judgment and theoretically figured range of punishments. An application has been designed and demonstrated in two consequential modules: the legal elements identification and the sentence identification. The developed ontology and its extended web application will be shown and illustrated as a sequential flow and evaluated by the legal experts and the end-users. The evaluation results showed that the averaged satisfactions for both groups of experts and end-users were 89% and 84%, respectively.