In this paper, we explore an interesting issue related to the Information Retrieval (IR) task of processing of user's query to pick the relevant judgments. The retrieved documents are summarized with term distribution model [1] and the results are presented in the form of a user understandable summary. In this work, we describe the construction of legal ontology that is useful in designing a legal knowledge base to answer queries related to legal cases [2]. The purpose of the knowledge base is to help in understanding the terms in a user query by the way of establishing a connection to legal concepts and exploring all possible related terms and relationships. Our proposed ontology-based document summarizer can assist the legal community to read the gist of the related cases instead of full judgments that have bearing to their present case. We have considered three sub-domains: rent control, income tax and sales tax for the legal ontology construction. The basic components of our newly created ontology structural framework are given in Table 1.
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