Document Landscape and Generative AI: A Synthetic Term DHISCREMENT Postulated for Nomenclature of Scholarly Library Resources

Authors

  • Soumen Mallik Associate Professor and Head

DOI:

https://doi.org/10.56042/alis.v72i2.15369

Keywords:

DHISCREMENT, Document Definition, Library Document, Knowledge Generation, Scholarly Publication

Abstract

Libraries are considered as storehouse of knowledge. Library acquires resources to satisfy the thirst for knowledge of the user community. A generic term ‘library documents’ is designated to the knowledge resources of libraries. Historically, ‘documents’ were used in legal perspective. Presently the notion ‘document’ is general in scope. The document horizon is found to be ever expanding. Adoption of the notion ‘document’ to designate library resources encountered semantic challenges. Defining documents and designating library resources as documents has ever been a dilemma to the librarians. Greatest of the library scientists like Paul Otlet and S R Ranganathan were of separate opinion regarding documents. Ranganathan defined documents on the basis of involvement of human intellect but included instrument generated records in the document category. The contemporary artificial intelligence (AI) influenced information scenario and application of generative AI in information generation extending the document landscape further.  A lexicological warrant enforced the librimatic mind for postulation of suitable synthetic word ‘DHISCREMENTS’ to designate library documents of traditional sense for the sake of restoring semantic stability amongst documents and ‘library documents’.

Author Biography

  • Soumen Mallik, Associate Professor and Head

    Department of Library and Information Science, Vidyasagar University, Midnapore-721101, West Bengal, India.

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Published

2025-05-30

How to Cite

Document Landscape and Generative AI: A Synthetic Term DHISCREMENT Postulated for Nomenclature of Scholarly Library Resources . (2025). Annals of Library and Information Studies , 72(2), 120-124. https://doi.org/10.56042/alis.v72i2.15369

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