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A Proposed Model for Ontology based Development of Sanskrit Named Entity Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 62 |
| Year of Publication: 2025 |
| Authors: Vini Gujarati, Veena Jokhakar |
10.5120/ijca2025926025
|
Vini Gujarati, Veena Jokhakar . A Proposed Model for Ontology based Development of Sanskrit Named Entity Recognition. International Journal of Computer Applications. 187, 62 ( Dec 2025), 46-49. DOI=10.5120/ijca2025926025
Abstract
Named Entity Recognition (NER) is the task of identifying the entities in the text document and categorize them into pre-defined categories such as Person, Location, Organization, etc. It is an important step in the processing of natural text. This paper propose an NER system for Sanskrit language using ontology. In contrast to modern languages, the Sanskrit language has rich morphology, complex compounds and vast use of epithets (descriptive titles, alternative names) which makes entity identification more difficult. To address this problem, we proposed a Model that combines linguistic preprocessing and ontology-aware entity linking to ensure robust recognition of relationship between NEs in Sanskrit text.
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