Search

When deciding on research subjects or analyzing technological trends, researchers should gather and evaluate information from thousands of papers, patents, and technical reports. Information extraction methods from books may assist in speeding up the process. Furthermore, appropriate searching algorithms for the retrieved information are required. While studies into information extraction have been widespread, research into searching and browsing techniques for the retrieved information has not been as appealing. The available published data is enormous; therefore, choosing the appropriate articles, knowledge, and relevant literature related to your field of study is an art. This work proposes an intelligent searching system that includes multiple analytical tools, alternative resources, and paper credibility. We anticipate that researchers will uncover and generate novel research outputs using the suggested searching system.