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Experimental Data for the Paper "Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning"

Bielski, Pawel ORCID iD icon 1; Witterauf, Lena 1
1 Lehrstuhl IPD Böhm (Lehrstuhl IPD Böhm), Karlsruher Institut für Technologie (KIT)

Abstract:

These are experimental data for the paper: Pawel Bielski, Lena Witterauf, Sönke Jendral, Ralf Mikut, Jakob Bach. 2024. Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning, 16th International Conference on Knowledge Engineering and Ontology Development (KEOD), Porto, Portugal. The data consist of the results from the experiments and the corresponding code to create plots used in the paper.


Zugehörige Institution(en) am KIT Lehrstuhl IPD Böhm (Lehrstuhl IPD Böhm)
Publikationstyp Forschungsdaten
Publikationsdatum 07.10.2024
Erstellungsdatum 30.09.2024
Identifikator DOI: 10.35097/zv8zqgqd6ezm02vk
KITopen-ID: 1000174629
Lizenz Creative Commons Namensnennung 4.0 International
Schlagwörter Ontology Quality Evaluation, Knowledge-Guided Machine Learning, Application Ontology, Domain Ontology
Liesmich

Folder Structure

  • Use Case 1 Computer Vision: contains jupyter notebook files to compute refinement scores for the three image classification dataset, the pickle files with the computed refinement scores, and the file to generate plots used in the paper.
  • Use Case 2 Healthcare: contains two subfolders
    • experiments_code contains the code used to reproduce the experiments on the MIMIC-III Dataset.
    • experimental_results_code contains the jupyter notebook files to compute the refinement scores for the next sequence prediction and risk prediction tasks, the pickle files with the computed refinement scores, and the file to generate plots used in the paper.
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