"AyurKOSH Dataset_ A Machine-Readable Ayurvedic Knowledge Resource for Knowledge Graph and Computational Intelligence"
Sharayu Mirasdar, Yash Gujar, Harish Patankar, Mangesh Bedekar
IEEE DataPort
Problems Identified (2)
Unstructured Ayurvedic Knowledge: Classical Ayurvedic texts contain interconnected medical knowledge but remain largely unstructured and inaccessible for computational analysis.
Unstructured Ayurvedic Knowledge: Classical Ayurvedic texts contain interconnected medical knowledge but remain largely unstructured and inaccessible for computational analysis.
Proposed Solutions (4)
AyurKOSH Ayurvedic Knowledge Graph Dataset: The work presents AyurKOSH, a machine-readable Ayurvedic dataset designed as a knowledge graph with structured entities and semantic relationships from classical Ayurvedic texts and curated sources.
Ayurvedic Pharmacology and Substitution Metadata: The dataset includes structured disease, symptom, formulation, herbal component, pharmacological, botanical, and herb-substitution information.
AyurKOSH Ayurvedic Knowledge Graph Dataset: The work presents AyurKOSH, a machine-readable Ayurvedic dataset designed as a knowledge graph with structured entities and semantic relationships from classical Ayurvedic texts and curated sources.
Ayurvedic Pharmacology and Substitution Metadata: The dataset includes structured disease, symptom, formulation, herbal component, pharmacological, botanical, and herb-substitution information.
Results (3)
Supports AI and NLP Applications:
Academic Noncommercial Availability:
Supports AI and NLP Applications:
Research Domain
Computational Ayurveda / biomedical knowledge graphs