Oral Narratives into Digitalization: Contribution to the Indian Knowledge System

  • Unique Paper ID: 189403
  • Volume: 12
  • Issue: 7
  • PageNo: 5646-5651
  • Abstract:
  • The Indian Knowledge System (IKS), a vast repository of wisdom, relies significantly on oral narratives (myths, epics and traditional healing) for its preservation. However, modernization, language shifts, and the passing of master performers pose an existential threat to this intangible heritage. This paper explores how digitalization—the systematic capture and management of oral information into digital formats—is a crucial technological intervention for the IKS. Digitalization must move beyond simple archiving to a multimodal, community-centered approach. The process involves ethical capture of high-resolution audio/video, contextual data, and standardized metadata (e.g., Dublin Core, CIDOC CRM). Key challenges include dealing with low-resource languages, resolving the application of Western-centric Intellectual Property Rights (IPR) to collective knowledge, and bridging the digital divide. Future trends point toward the use of AI/ML for automated transcription and linguistic analysis (e.g., Named Entity Recognition), and VR/AR to re-contextualize performances. To ensure sustainability and ethical practice, the paper suggests adopting a Digital Repatriation Model, standardizing metadata, and implementing Blockchain for transparent IPR management. Responsible digitalization will transform the IKS from a passively preserved heritage into a dynamic resource informing the future.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{189403,
        author = {Deepa S V},
        title = {Oral Narratives into Digitalization: Contribution to the Indian Knowledge System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {5646-5651},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189403},
        abstract = {The Indian Knowledge System (IKS), a vast repository of wisdom, relies significantly on oral narratives (myths, epics and traditional healing) for its preservation. However, modernization, language shifts, and the passing of master performers pose an existential threat to this intangible heritage. This paper explores how digitalization—the systematic capture and management of oral information into digital formats—is a crucial technological intervention for the IKS. Digitalization must move beyond simple archiving to a multimodal, community-centered approach. The process involves ethical capture of high-resolution audio/video, contextual data, and standardized metadata (e.g., Dublin Core, CIDOC CRM). Key challenges include dealing with low-resource languages, resolving the application of Western-centric Intellectual Property Rights (IPR) to collective knowledge, and bridging the digital divide.
Future trends point toward the use of AI/ML for automated transcription and linguistic analysis (e.g., Named Entity Recognition), and VR/AR to re-contextualize performances. To ensure sustainability and ethical practice, the paper suggests adopting a Digital Repatriation Model, standardizing metadata, and implementing Blockchain for transparent IPR management. Responsible digitalization will transform the IKS from a passively preserved heritage into a dynamic resource informing the future.},
        keywords = {Oral Narratives, Indian Knowledge System (IKS), Digitalization, Intangible Cultural Heritage (ICH), Intellectual Property Rights (IPR), Digital Repatriation.},
        month = {December},
        }

Cite This Article

V, D. S. (2025). Oral Narratives into Digitalization: Contribution to the Indian Knowledge System. International Journal of Innovative Research in Technology (IJIRT), 12(7), 5646–5651.

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