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Supplemental Material to the SWJ Journal Submission "Characteristic Sets Profile Feature: Estimation and Application to SPARQL Query Planning"

Heling, Lars

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Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Forschungsdaten
Publikationsdatum 08.02.2021
Erstellungsdatum 01.11.2020 - 03.02.2021
Identifikator DOI (KIT): 10.5445/IR/1000129276
KITopen-ID: 1000129276
Lizenz Creative Commons Namensnennung – Weitergabe unter gleichen Bedingungen 4.0 International
Vorab online veröffentlicht am 03.02.2021


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.


  • 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
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