CoNavigator: A Framework of FCA-Based Novel Coronavirus COVID-19 Domain Knowledge Navigation

Abstract

The rapidly increasing number of confirmed cases and extremely large amounts of medical resources about coronavirus disease 2019 (COVID-19) pandemic are enriching the COVID-19 domain knowledge bases. Undoubtedly, it is resulting in "information overload" and "information confusion" for users. Hence, how to achieve precision information navigation for COVID-19 related domain knowledge retrieval and personalized services, has become a huge challenge of this research. Due to the unique retrieval and navigation advantages of concept lattice, a framework of novel coronavirus COVID-19 domain knowledge navigation named CoNavigator, based on Formal Concept Analysis (FCA) theory is devised. It provides a promising approach for improving the retrieval efficiency from various novel coronavirus COVID-19 information resource platforms. Besides, some useful patterns are extracted and regarded as important evidence for an appropriate understanding of the pathological features of novel coronavirus COVID-19.