Supplementary Dataset for "Approaches for cleaning assertion errors in knowledge graphs"

This repository contains the supplementary dataset for the survey "Approaches for cleaning assertion errors in knowledge graphs". It provides the bibliographic data collected during the literature review together with the structured metadata used to construct the taxonomy, classify cleaning approaches, and support the comparative analysis presented in the paper. The dataset is intended to improve the transparency and reproducibility of the survey methodology and to facilitate future research on knowledge graph cleaning. Repository Contents The repository contains the following files: publications.bib – Complete bibliography of publications considered during the literature review. bibliography.bib – Bibliography of the publications cited in the survey. taxonomy.csv– Structured metadata for the classified publications, including bibliographic information, referenced publications, assertion types, cleaning techniques, and background knowledge source types publishers.csv – Overview of the publishers represented in the survey, including publisher type, ranking, ranking source, and the number of associated publications. The CSV files were exported from a custom web-based literature management tool developed specifically for this survey. The structure and semantics of the exported data are documented in the accompanying README.md. If you use this dataset in your research, please cite both the associated publication and the Zenodo dataset.