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Ontology Based Knowledge Visualization for Domestic Violence Cases

INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS, IBICA 2021(2022)

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Abstract
Ontology of any domain formally represents the knowledge based on concepts along with its relationship and properties. Legal ontology has a significant contribution in capturing knowledge of legal domain. The legal professionals analyse legal documents to extract knowledge based on the parameters mentioned in legal sections to prepare their draft. This research work mainly contributes in capturing the knowledge of legal section via ontology. The proposed ontology has mapped the entities and their relationship of textual rule related to Criminal major Act on Domestic Violence as stated in Indian Penal Code Section 498A. It mainly focuses on relevant portions on which legal professionals give major emphasis in Domestic Violence cases. Authors have extracted major entities present in Domestic Violence cases using Natural Language Processing techniques like named entity recognition, regex, etc. and generated a parse tree. The entities and relationship generated by the parse tree is further represented as classes, object properties, instances, etc., using Protege. Authors have tried to represent the concepts and their relationship through ontology visualizer i.e. OntoGraf.
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Key words
Artificial Intelligence, Natural language processing, Knowledge base, Indian Penal Code Section, Domestic violence
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