LAYERED ARCHITECTURE TOWARD MINING AYURVEDIC FACTS

Authors

  • Gayathri M Department of , SCSVMV University, Kanchipuram, Tamil Nadu, India.
  • Jagadeesh Kannan R Department of , SCSVMV University, Kanchipuram, Tamil Nadu, India.

DOI:

https://doi.org/10.22159/ajpcr.2017.v10s5.23492

Keywords:

Text mining, Traditional medicine, Ontology, Distributed data storage

Abstract

The main objective of this paper is to analyze the difficulties in finding the relevant information in ayurvedic medical system and the changes and opportunities that the information technology brings for different aspect of traditional Indian medicine. We describe the ontology's and semantic tools to obtain the deep knowledge among the data. Moreover, we adapted the ontology-based model which helps in finding the semantic information with limited time complexity. This model proves that it suits to find the useful data without degrading the efficiency and performance of the system.

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References

Ravishankar B, Shukla VJ. Indian systems of medicine: A brief profile. Afr J Tradit Coplement Altern Med 2007;4:319-37.

Web Resource. Available from: http://www.en.wikipedia.org/wiki/ AYUSH.

Patwardhan B,Mashelkar RA.Traditional medicine-inspired approaches to drug discovery: Can Ayurveda show the way forward? Drug Discov Today 2009;.

Han J, Kamber M. Data Mining: Concepts and Techniques. San Francisco: Morgan Kaufmann; 2001.

Oro E, Ruffolo M. XONTO: An Ontology-based System for Semantic Information Extraction from PDF Documents 20th IEEE International Conference on Tools with Artificial Intelligence; 2008.

Horridge M. A Practical Guide to Building OWL Ontologies Using Protégé 4 and CO-ODE Tools; 2008.

Kayed M, Shaalan KF. A survey of web information extraction systems. IEEE Trans Knowl Data Eng 2006;18(10):1411-28.

Chen SW, Tseng YT, Lai TY. The design of an ontology-based service-oriented architecture framework for traditional Chinese. Med Healthcare 2012;:353-6.

Web Resource. Available from: https://www.gate.ac.uk.

Published

01-04-2017

How to Cite

M, G., and J. K. R. “LAYERED ARCHITECTURE TOWARD MINING AYURVEDIC FACTS”. Asian Journal of Pharmaceutical and Clinical Research, vol. 10, no. 13, Apr. 2017, pp. 506-10, doi:10.22159/ajpcr.2017.v10s5.23492.

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Section

Original Article(s)