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Wiki3DRank scripts and data for Wiki Workshop 2026

This dataset contains the scripts and supporting data used to implement and experiment with Wiki3DRank, a method for ranking and analysing entities in knowledge graphs using a multidimensional approach. The package includes Python scripts and processed data used in the experiment

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CreatorPastor-Sánchez, Juan-Antonio
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Published2026-03-12
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DOI10.5281/zenodo.18989865
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Downloads51
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Licensemit-license
File Size33.5 MB
Data TypeDataset
Published2026
Licensemit-license
Total Views137
Total Downloads51

This dataset contains the scripts and supporting data used to implement and experiment with Wiki3DRank, a method for ranking and analysing entities in knowledge graphs using a multidimensional approach. The package includes Python scripts and processed data used in the experiments presented at the Wiki Workshop 2026.

Wiki3DRank models entity relevance through a three-dimensional ranking framework that combines different quantitative indicators derived from collaborative knowledge bases. The dataset enables the reproduction of the experimental workflow, including the generation of rankings and the exploration of entity distributions in a multidimensional space.

The resource is intended for research on knowledge graphs, Linked Open Data, entity ranking and quantitative analysis of large collaborative knowledge repositories such as Wikipedia and Wikidata.

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Wiki3DRank scripts and data for Wiki Workshop 2026 (Full Dataset)33.5 MB
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ReadmeVia DOI record
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Files are hosted on the source repository. Click download to access the full dataset.

Pastor-Sánchez, Juan-Antonio (2026). Wiki3DRank scripts and data for Wiki Workshop 2026. https://doi.org/10.5281/zenodo.18989865