Supreme Court Sentences Retrieval Using Thai Law Ontology
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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.
KeywordsOntology Retrieval Supreme Court sentences Thai succession law
This research was partly supported by Faculty of Science and The Graduate School of Kasetsart University.
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