BioEve Search: A Novel Framework to Facilitate Interactive Literature Search

Area of Science:

• Biomedical Informatics
• Computational Biology
• Life Sciences

Background:

• Advances in computational and biological methods have increased biomedical data and literature.
• Existing search methods struggle with the scale of biomedical information.
• Automated extraction and cognitive search are needed for efficient knowledge discovery.

Purpose of the Study:

• To develop a novel framework for interactive search and knowledge discovery in life sciences.
• To integrate Information Retrieval and Information Extraction for enhanced biomedical literature search.

Main Methods:

• Developed the BioEve Search framework, integrating Faceted Search and Information Extraction.
• Implemented guided, step-by-step search query refinement with concept and entity suggestions.
• Enabled discovery of related concepts and keywords during information seeking.

Main Results:

• BioEve provides an interactive search experience for life science researchers.
• The framework facilitates efficient filtering and modification of search direction.
• Users can easily discover related concepts and keywords for improved information seeking.

Conclusions:

• BioEve Search enables scalable interactive searching of large biomedical literature collections.
• The framework simplifies the discovery of hidden knowledge within scientific articles.
• It offers an enriched paradigm for researchers to navigate and understand biomedical information.