Abstract
A systematic literature review provides an overview of multiple scientific publications in an area of research and visualizations of the data of the systematic review enable further in-depth analyses. The creation of such a review and its visualizations is a very time- and labor-intensive process. For this reason, we propose a tool for automatically generating visualizations for systematic reviews. Using this tool, the citations between the included articles can be depicted in a citation graph. However, because the clearness of the information contained in the citation graph is highly dependent on the number of included publications, several strategies are implemented in order to reduce the complexity of the graph without loosing (much) information. The generated graphs and developed strategies are evaluated using different instruments, including an user survey, in which they are rated positively.
| Original language | English |
|---|---|
| Title of host publication | ICADL 2020: Digital Libraries at Times of Massive Societal Transition |
| Editors | Emi Ishita, Natalie Lee San Pang, Lihong Zhou |
| Number of pages | 15 |
| Volume | 12504 LNCS |
| Publisher | Springer, Cham |
| Publication date | 26.11.2020 |
| Pages | 107-121 |
| ISBN (Print) | 978-3-030-64451-2 |
| ISBN (Electronic) | 978-3-030-64452-9 |
| DOIs | |
| Publication status | Published - 26.11.2020 |
| Event | 22nd International Conference on Asia-Pacific Digital Libraries - Kyoto, Japan Duration: 30.11.2020 → 01.12.2020 Conference number: 252499 |
Research Areas and Centers
- Centers: Center for Artificial Intelligence Luebeck (ZKIL)
- Research Area: Intelligent Systems
DFG Research Classification Scheme
- 4.43-03 Security and Dependability, Operating, Communication and Distributed Systems
