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This study introduces an exploratory search system to navigate the vast COVID-19 scientific literature. The system uses term extraction and citation analysis, enhancing literature discovery for researchers.

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Area of Science:

  • Biomedical Informatics
  • Information Science
  • Epidemiology

Background:

  • The COVID-19 pandemic generated an exponential increase in scientific publications across diverse disciplines.
  • Navigating this massive volume of literature presents a significant challenge for researchers and domain experts.
  • Existing search tools may not adequately support the exploration and discovery of complex scientific information.

Purpose of the Study:

  • To develop and evaluate an exploratory search system designed to facilitate navigation of the COVID-19 scientific literature.
  • To accelerate the identification of relevant documents through automated term extraction and citation analysis.
  • To provide an interactive interface for exploring the scientific landscape of the pandemic.

Main Methods:

  • Development of a search system integrating unsupervised term extraction and citation analysis.
  • Implementation of a multi-view interactive search and navigation interface with graph visualization.
  • User evaluation involving domain experts such as epidemiologists, biochemists, medicinal chemists, and medical students.

Main Results:

  • Users reported satisfaction with the relevance and speed of search results.
  • Participants found the system effective for exploring the scientific literature space.
  • Graph visualization and filtering capabilities were highlighted as key features for discovery.

Conclusions:

  • The developed exploratory search system effectively aids in navigating and discovering relevant information within the COVID-19 scientific literature.
  • The integration of automated term extraction, citation analysis, and interactive visualization enhances user experience and research efficiency.
  • The system's capacity for exploration and discovery was positively received by domain experts, indicating its utility in scientific research.