An efficient approach for storage of court judgements using graph database
by Varsha Mittal; Durgaprasad Gangodkar; Bhaskar Pant
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 22, No. 1/2, 2022

Abstract: Extracting relevant information from a large dataset has always been challenging and predicting is even more. One such issue comes with arranging large volume of court cases into meaningful data. Text mining approach has its own limitations when it comes to large volume of data having similar type of information. This paper aims at developing an e-dictionary for the courts using a simplified and case wise keyword dictionary creation that could be used to understand the judgements pronounced in earlier similar cases. To overcome the challenge of breaking the text into tokens and get the word count without compromising the speed, a single cluster on Hadoop is considered and finally graph database to store the data. The model is guided by various graph and set theories and is an effort to answer the queries of judges and lawyers in an effective manner by reducing the effort of reading the whole cases and referring only to the final judgement. Use of graph theory provides the logical view of the stored data. To check the robustness of the proposed model precision, recall, and accuracy were calculated and they were found to be 1.0, 0.92 and 92.66%, respectively.

Online publication date: Mon, 23-May-2022

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