Bottom-up anytime discovery of generalised multimodal graph patterns for knowledge graphs
Authors/Creators
Description
These resources were generated during the research performed for a research paper with title "Bottom-up anytime discovery of generalised multimodal graph patterns for knowledge graphs", submitted in 2024. The research was performed by Xander Wilcke (first author), Rick Mourits, Auke Rijpma, and Richard Zijdeman, and was funded by the NWO CLARIAH-PLUS.
File list
This is the dataset that was used as input to our experiments. It contains the civil records of 100,000 Dutch citizen in RDF format (gzipped N-Triples), and was randomly sampled from the nationwide civil registry. All individuals in this dataset have been deceased for at least 100 years.
- dataset_sample-100000.nt.gz
This data was generated during the experiments. In other words, these are the (unfiltered) patterns that were founds during our research, and which are thus present in the 100,000 people sample that was used as input. The patterns are encoded as RDF (N-Triples) with provenance and metadata.
- socchist-100K_output.tar.xz
This file contains the results from the survey (cleaned) held during the evaluation of our research, and lists the Likert scores and free-form responses from the participants of the survey. The responses have been anonymised.
- survey_results_240713_cleaned.csv
Files
Additional details
Funding
- Dutch Research Council
- CLARIAH-PLUS 31698
Software
- Repository URL
- https://gitlab.com/wxwilcke/hypodisc
- Programming language
- Python
- Development Status
- Concept