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AI System to Generate Context-Based Answers to Questions from Legal Bibliographic Text in Law Libraries

Year: 2025

Type: article

Abstract: AI-based Question-Answering (QA) systems offer an efficient means of retrieving information from legal bibliographic datasets. This study proposes a content-based selector model that extracts minimal yet relevant contextual responses to user queries. By incorporating theories of reference service, particularly Bernard F. Vavrek’s holistic approach and S.R. Ranganathan’s principles, this research contextualises AI-driven solutions within traditional library services. The findings demonstrate the robustness of AI in enhancing reference services, supplementing but not replacing human librarians.

Source: DESIDOC Journal of Library & Information Technology

DOI: 10.14429/djlit.21134

Authors: Vikas Bhushan, Arpan Bhattacharyya

Institution: West Bengal National University of Juridical Sciences

Language: English

Topic: Library Science and Information

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4413807025

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