Smarticle – Helping researchers focus on research

 

Reading PDF papers is now an everyday activity for researchers; however, there are several problems that waste a lot of time, for instance reading cross-references that lead to repetitive manual actions of scrolling up and down.

Smarticle is a web application that aims precisely to provide a better reading experience for researchers, helping them to concentrate on the research itself.

To achieve this, two main features were defined: first, the capability to extract key information such as figures, tables, references, etc.; and second, the ability to deduce knowledge from the extracted information helping the understanding of the document and the inspiration of new ideas.

And they are realized through the following functionalities:
- resolution and presentation of cross-references within the document
- construction of the knowledge graph showing relationships between references in the document
- creation of a summary regarding key components of the document
 
 
Home Page

 

PDF Upload Modal
 
PDF Viewer Page
 
Reference Tooltip and Details
 
Paper Details and Knowledge Graph
 
Knowledge Graph with Details about each Referenced Paper
 
Summary about Paper and Selected Text
 
Error Handling when a paper can't be found

 

Error Page

 

About Page

 

Architecture:

Technologies:

  • BackEnd: 
    • AWS Amplify & Lambda
    • Node.js
    • NLP Cloud
  • FrontEnd:
    • React TypeScript
    • PDF.js
    • Cytoscape.js
  • Testing
    • Cypress
 

Important Links:

Smarticle App: Home Page

Project Documentation: Project Documentation - Confluence 

Github: smarticle-dsd/Smarticle

Project backlog: Agile board - Jira

Requirements changelog: Requirements Changelog - Confluence

Supervisor meetings questions and notes: Supervisor meetings - Confluence

 

Contacts: