Supplemental material to the swj journal submission "characteristic sets profile feature: estimation and application to sparql query planning"

doi:doi:10.35097/1276

Supplemental material to the swj journal submission "characteristic sets profile feature: estimation and application to sparql query planning"

TechnicalRemarks: # Readme This archive contains the experimental results for the SWJ Paper. Large Files and subdirectories are zipped. Raw data includes tab-separated files (.tsv) and JSON (.json) files.

Files

statistical_similarity_measures_per_sample: Statistical Similarity Measures aggregated on the level of Samples.
structural_similarity_measures_per_sample: Structural Similarity Measures aggregated on the level of Samples.
fedbench_datasets_statistics: General Statistics of the datasets from FedBench used in the experiments.
characteristic_sets_all_samples: All individual characteristic sets obtained from the samples.
fedbench_results_complete: All evaluation metrics for all FedBench Queries per CSPF from each sample. Aggregated similarity measures are included as well.
cspf_statistics: Directory containing all estimated (and complete) CSPF estimations used by the Query Planner

BibTex:

@dataset{Heling_Lars_2023,
    abstract = {TechnicalRemarks: # Readme
This archive contains the experimental results for the SWJ Paper. 
Large Files and subdirectories are zipped. Raw data includes tab-separated files (.tsv) and JSON (.json) files.

## Files

-  `statistical_similarity_measures_per_sample`: Statistical Similarity Measures aggregated on the level of Samples.
- `structural_similarity_measures_per_sample`:  Structural Similarity Measures aggregated on the level of Samples.
- `fedbench_datasets_statistics`: General Statistics of the datasets from FedBench used in the experiments.
- `characteristic_sets_all_samples`: All individual characteristic sets obtained from the samples.
- `fedbench_results_complete`: All evaluation metrics for all FedBench Queries per CSPF from each sample. Aggregated similarity measures are included as well.
- `cspf_statistics`: Directory containing all estimated (and complete) CSPF estimations used by the Query Planner},
    author = {Heling, Lars},
    doi = {10.35097/1276},
    institution = {RADAR},
    title = {Supplemental material to the swj journal submission "characteristic sets profile feature: estimation and application to sparql query planning"},
    url = {https://service.tib.eu/ldmservice/vdataset/rdr-doi-10-35097-1276},
    year = {2023}
}