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Datasets for Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs

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Zenodo2019-07-04 更新2026-04-07 收录
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<strong>Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs</strong> This are intermediary datasets used for the calculation of the Class Completeness Estimators on Wikidata. For more information see: https://github.com/eXascaleInfolab/cardinal/ <strong>edits_wikidatawiki-20181001-pages.csv</strong> This is an extract from <em>wikidatawiki-20181001-pages-meta-history</em> (All pages with complete page edit history (.bz2)) found at https://dumps.wikimedia.org/wikidatawiki/. The extract was created by the following SQL query: <pre> SELECT page_title, rev_comment, rev_user_text, rev_timestamp FROM revisions WHERE rev_comment LIKE '%[[Property:%]]%[[Q%' ORDER BY rev_id INTO OUTFILE 'edits_wikidatawiki-20181001-pages.csv'; </pre> <strong>wikidata-20180813-all.json.bz2.universe.noattr.gt.bz2</strong> This is a graph-tool representation of the WikiData graph. Output of https://github.com/eXascaleInfolab/cardinal/blob/master/1_create_inmemory_graph.py. <strong>observations_wikidatawiki-20181001-pages.pickle</strong> Extracted observations. Output of https://github.com/eXascaleInfolab/cardinal/blob/master/2_extract_observations.py. <strong>estimates_wikidatawiki-20181001-pages.pickle</strong> Extracted estimates. Output of https://github.com/eXascaleInfolab/cardinal/blob/master/3_calculate_estimates.py <strong>results_wikidatawiki-20181001-pages.pickle </strong> Results. Output of https://github.com/eXascaleInfolab/cardinal/blob/master/4_draw_graphs.py

提供机构:
University of Fribourg
创建时间:
2019-07-04
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