A study on Efficiency of Bio Medical Data Extraction from PubMed Dataset using Elastic Search Engine

Modern software applications rely heavily on search and analytics as crucial components. Extracting valuable information from big data records is mandatory for development of effective text mining models. Existing text mining models require large number of trained data but lagging due to the small datasets available. For information extraction from the literature, there is a growing need for precise text mining methods. This research study provides an idea of extracting required information from the literature and identify research trends with the help of elastic search. People can better understand life’s phenomena and its rules on biological knowledge with aid of elastic search.