Similarity analysis of court judgments using clustering of case citation data: a study

  • Authors

    • Disna Davis Kachappilly Christ University
    • Rupali Sunil Wagh Christ University
    2018-06-01
    https://doi.org/10.14419/ijet.v7i2.9657
  • Citation Analysis, Data Clustering, Information Retrieval, Legal Domain, Similarity Search.

  • Abstract

    Information retrieval (IR) is an automatic mechanism to extract required information from a collection of unstructured or semi-structured data. IR systems minimize the effort of a user to locate the information based on the requirements. Clustering of documents is carried out as a preprocessing step for filtering irrelevant information in an IR system. Legal domain is a producer as well as consumer of huge in-formation which also contains invaluable legal knowledge and its interpretation. Knowledge based legal information retrieval systems is need of the day. Citation analysis is a technique to find the hidden relationships between the documents and is used for understanding knowledge transfer across various domains and hence becomes very important in legal domain. In this study, similarities among documents are analyzed using data clustering when applied on data of citations in court judgments.

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  • How to Cite

    Kachappilly, D. D., & Sunil Wagh, R. (2018). Similarity analysis of court judgments using clustering of case citation data: a study. International Journal of Engineering & Technology, 7(2), 855-858. https://doi.org/10.14419/ijet.v7i2.9657

    Received date: 2018-02-22

    Accepted date: 2018-05-21

    Published date: 2018-06-01