India is known for its traditional medicinal system such as Ayurveda, Yoga, Unani, Siddha and
Homeopathy. Ayurveda plays a significant role in curing the diseases without any side effects. Medicinal
plants or herbs are considered as a major resource in meeting the need of people health care. Information
about this medicinal knowledge must be preserved and digitized. There have been a massive number of
publications and large number of articles on ayurvedic research in the form of unstructured textual data.
Text mining approach is used to provide the solution to handle such voluminous of unstructured data. With
the exponential growth of text based data, navigating the relevant information needed is the challenging
task. Semantic understanding of document content formsthe vital requirement for ensuring the quality of
content retrieval. However, the current approaches are finding variation in textual classification in
bringing the classification accuracy which may fail to understand the data during classification. Hence, an
efficient model is required to search, classify and retrieve the most relevant data. The main objective of this
research isto develop an effective and efficient framework and algorithm to search and retrieve the most
relevant facts by including the application of ontology-based text mining approach.