Constructing complex queries on data which combines spatial, temporal, and spectral aspects is a challenging and error-prone process. Query interfaces of general-purpose database management systems fall short in providing intuitive support for users to effectively and efficiently construct queries. To address this situation, we developed GraphicalQueryBuilder, a tool which provides interactive and immediate feedback during query construction and visually represents search space and queries. A user study with ten professionals showed that users were able to complete queries on average 40% faster and 40 percentage points more accurately compared to a Microsoft Access baseline.
@article{arxiv.2205.07269,
title = {Querying Spatial-Temporal-Spectral Data Using a Graphical Query Builder},
author = {Adela Gorczynska and Peter Fule and Christoph Treude},
journal= {arXiv preprint arXiv:2205.07269},
year = {2022}
}