ABSTRCT: Ayurveda, Yoga, Unani, Siddha, and Homeopathy are some of India's traditional medicinal systems. Ayurveda is effective in healing ailments without causing adverse effects. Medicinal plants or herbs are regarded as a valuable resource for satisfying people's health-care needs. It is necessary to preserve and digitise information regarding this therapeutic knowledge. In the form of unstructured textual data, there have been a huge number of publications and articles on Ayurveda research. Text mining is utilised to provide a solution for dealing with such large amounts of unstructured data. With the exponential growth of text-based data, finding the necessary information has become a difficult challenge. The ability to understand the semantics of document content is essential for assuring the quality of content retrieval. However, current approaches are discovering variations in textual categorization in order to improve classification accuracy, which may result in a failure to comprehend data during classification. As a result, an effective model for searching, classifying, and retrieving the most relevant data is necessary. The major goal of this study is to provide an effective and efficient framework and algorithm for searching for and retrieving the most relevant information using an ontology-based text mining approach. To investigate the challenges of locating useful information in the Ayurveda medical system, as well as the changes and opportunities that information technology provides to various aspects of traditional Indian medicine Ontologies and semantic tools are described in order to gain deep knowledge from data. In addition, we modified an ontology-based model that aids in the rapid discovery of semantic information. This model demonstrates that it is appropriate for locating useful data while maintaining the system's efficiency and performance.

The information extraction methodology is implemented using a medicinal plant ontology with semantic knowledge representation and an algorithm called OCEC (Ontology based Concept Extraction and Classification), in which each term is semantically described by mapping the terms and their related terms in the medicinal plant ontology.

Keywords: Ayurveda Herbs Images and details, Deep Learning, CNN, Densent121, Resnet50.