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IntelliLegalRec: An RDF Based Metadata Driven Semantically Compliant Recommendation System for Socio-legal Judicial Documents

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Digital Technologies and Applications (ICDTA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 454))

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Abstract

Pertinent socio-legal judicial documents are a necessity as backing for similar judicial cases. However, incomplete and irrelevant particulars while reviewing potentially related judicial documents pertaining to a case may prove unfavourable to its direction. This paper proposes a Semantically inclined recommendation system IntelliLegalRec for the recommendation of socio-legal judicial documents, complemented by the generation of metadata and the Resource Description Framework. The approach is user query centric and uses the Latent Dirichlet Allocation model for topic modelling. Furthermore, two stages of semantic similarity computation with the help of semantic measures like Concept Similarity, Normalized Pointwise Mutual Information and Normalized Google Distance, is carried out and further optimized using the Golden Eagle Optimization algorithm. As a result, IntelliLegalRec achieves best in class accuracy of 94.60%, making it an efficient and semantically compliant system for the recommendation of judicial documents.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, India

    Gerard Deepak

  2. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, India

    Akhil S. Krishnan

Authors
  1. Akhil S. Krishnan
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  2. Gerard Deepak
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Corresponding author

Correspondence to Gerard Deepak .

Editor information

Editors and Affiliations

  1. Ecole Nationale des Sciences Appliquées, Fez, Morocco

    Saad Motahhir

  2. Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Badre Bossoufi

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Krishnan, A.S., Deepak, G. (2022). IntelliLegalRec: An RDF Based Metadata Driven Semantically Compliant Recommendation System for Socio-legal Judicial Documents. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2022. Lecture Notes in Networks and Systems, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-01942-5_41

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