Ontology Based Indian Medical System

被引：1

作者：

Gayathri, M. ^{[1
]}

Kannan, R. Jagadeesh ^{[2
]}

机构：

[1] SCSVMV Univ, Kanchipuram 631501, India

[2] VIT Univ, Madras, Tamil Nadu, India

来源：

MATERIALS TODAY-PROCEEDINGS | 2018年 / 5卷 / 01期

关键词：

Traditional medicine; ontology; text mining;

D O I：

10.1016/j.matpr.2017.11.301

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

India is known for its traditional medicines like Ayurveda, siddha, unnani, homeopathy and yoga. Publishing of literatures on traditional medicines are expanding rapidly. Due to the exponential growth of articles and literatures existence, it is difficult for the user or the practitioners to find the relevant and useful information from this large amount of data. Text mining is applied on this data to find the useful facts. In this study, we concentrate on ayurvedic medical system and we discussed on how to apply text mining techniques on ayurvedic literatures to find the most relevant ayurvedic facts. Moreover we constructed ontology for the medicinal plants for better understanding of relations among such herbal plants with its usage in curing the diseases. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：1974 / 1979

页数：6

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