You're currently viewing an old version of this dataset. To see the current version, click here.

SPaRKLE: Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning [Draft]

SPaRKLE is a hybrid method that combines symbolic and mathematical methodologies while leveraging Partial Completness Assumption (PCA) heuristics to capture implicit information and enrich Knowledge Graphs (KGs). The combination of symbolic and numerical strategies offers a comprehensive approach to KG enrichment that capitalizes on the strengths of both paradigms. This technique has the potential to provide more extensive, accurate, interpretable, and flexible knowledge representations, thereby improving the usefulness and efficacy of KGs across several domains.

Data and Resources

Cite this as

Disha Purohit, Yashrajsinh Chudasama, Ariam Rivas, Maria-Esther Vidal (2024). Dataset: SPaRKLE: Symbolic caPtuRing of knowledge for Knowledge graph enrichment with LEarning. https://doi.org/10.57702/y62s0xfg

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created April 18, 2024
Last update April 18, 2024
License notspecified: License not specified
Author Disha Purohit
More Authors
Yashrajsinh Chudasama
Ariam Rivas
Maria-Esther Vidal
Author Email Disha Purohit