Abstract

With today’s innovative technology, many courts across the country are moving to paperless systems and this\nresulted in the tremendous increase in the number of e-judgments. The sheer volume and the heterogeneous nature of\nthe e-judgments demands text-mining techniques to extract legal relations from e-judgments. Relation extraction plays a\nmajor role in the legal domain by answering queries and finding out similar cases. Though many methods are available for\nextracting relations from natural language text, ontology based relation extraction is ideal for domain-specific tasks. In this\npaper, we present a legal case ontology that incorporates the concepts and relations present in the legal case domain by\nincluding the relevant terms from a set of real-life judicial decisions. The proposed ontology aims to support the extraction of\ndomain specific taxonomic and non-taxonomic relations from e-judgments. Later, these significant relations would be useful\nfor Text Summarization, Question Answering, and legal case based reasoning.