Evaluation of Automatic Metadata Schema for Indian Palm Leaf Manuscripts
Nagendra Panini Challa1, R. Vasanth Kumar Mehta2

1Nagendra Panini Challa, Department of Computer Science & Engineering, SCSVMV, Kanchipuram (Tamil Nadu), India.
2R.Vasanth Kumar Mehta, Department of Computer Science & Engineering, SCSVMV, Kanchipuram (Tamil Nadu), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 77-84 | Volume-8 Issue-5, March 2019 | Retrieval Number: D2867028419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: India is home for various treasures of knowledge which are inscribed, stored and passed on from one generation to the next through a unique medium – palm leaves. In the present scenario, the need to preserve our rich heritage and provide an easy interface is the major challenge, using modern technology and techniques, thereby enhancing accessibility, applicability and appreciation for the repository of knowledge. A well-built catalogue is a primary requirement to facilitate effective and efficient information retrieval. The main aim of this research is to provide users with a standard means for intellectual access to digitized materials. Hence the outcome of this research can be useful in two ways firstly to prioritize the least/high damaged manuscript to perform restoration and secondly to obtain accurate search results from two methods proposed using TF-IDF and crowdsourcing approach. These can be widely utilized in various digital libraries across the globe. This metadata schema can be incorporated into an enhanced search engine for obtaining better precision and recall results.
Keyword: Palm Leaf Manuscripts, Digitization, Information Retrieval, Tf-Idf, Crowdsourcing, Libraries, Precision, Recall.
Scope of the Article: Reflection and Metadata Approaches