The goal of the Clippy project was to make a smart PDF reader for scientific papers that makes research easier and more efficient. The project was restricted to using GitHub for source code versioning and MIT-licensed libraries. All the functionalities are built upon the mandatory PDF.js library.
The result of the Clippy project should be a PDF reader that should help the researcher to parse and extract information from the paper such as tables, figures, and equations. Clippy should also build a knowledge graph out of all the references from the paper showing which papers are connected to each other. To get a quick overview of the paper Clippy should also generate a summary of the paper. All of the requirements are intended to be able to go quickly through a paper without the need to read all of it.
Initial requirements from project sponsors were:
- resolving and presenting cross-references inside a paper
- building a knowledge graph for the references of a paper
- generating/mining summarizations for key components of the paper
- (optionally) highlighting commonly used, topic-specific phrasings
Technologies used in making Clippy are:
- Node.js -- bakcend
- Dino Grgić - firstname.lastname@example.org
- Branimir Ivić - email@example.com
- Dunja Šmigovec - firstname.lastname@example.org
- Evangelia Damasioti - email@example.com
- Pablo Gallardo - firstname.lastname@example.org
- Niclas Ståhlbom - email@example.com
- Emil Wendin - firstname.lastname@example.org