The student will analyze the form of configuration files for the knowledge graph visual browser which were developed in the previous work of the supervisor's research group and identify what parts are hard to define manually. On the base of the analysis the student will design, implement and test a user-friendly tool which will help authors with the creation of the configuration files. This help may include but does not need to be limited to, e.g., automation of the creation of certain parts of the configuration files, previews of the configured visualizations or validation and completeness checks.
Seznam odborné literatury
[1] Haase, Peter et al. ‘Metaphactory: A Platform for Knowledge Graph Management’. 1 Jan. 2019 : 1109 – 1125.
[2] Po, Laura, et al. "Linked Data Visualization: Techniques, Tools, and Big Data." Synthesis Lectures on Semantic Web: Theory and Technology 10.1 (2020): 1-157.