BA Abschlussvortrag, Charlotte Bajorat, Ort: Online, Datum: 16.02.2022, Zeit: 11:30 Uhr

Finding and collecting relevant publications on a topic is crucial in conducting systematic literature reviews, which play an essential role in the scientific world.
Systematic literature reviews aim to present the body of knowledge of a specific topic based on the published work.
Therefore, tools have been developed to optimize literature screenings since the number of publications increases steadily.

This thesis describes the scope of functionality, conception, and implementation of a web-based prototype that helps to conduct systematic literature reviews.
The application guides the user through a systematic literature review, focusing on literature screenings. The screening process is supported by active machine learning algorithms, which makes tackling many publications less tedious.
An intuitive UI guides users, allowing for comments and reducing the time overhead by focusing on the information instead of the application.
A literature data upload, extraction, and review data export are also implemented.