Mining biomedical literature: An open source and modular approach

Abstract

This paper presents the ongoing development of a full-text natural language search engine for biomedical literature. The system aims to provide search on the full-text content of documents belonging to a database composed of scientific articles, while allowing users to submit their search queries using natural language. Beyond the text content of articles, the system engine also utilizes article metadata, empowering the search by considering extra information from picture and table captions. User queries can be submitted to the system in natural language, releasing the user from the burden of translating their search needs into a query language.