PyClause - Simple and Efficient Rule Handling for Knowledge Graphs
PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.24963/ijcai.2024/991 ↗
摘要
Rule mining finds patterns in structured data such as knowledge graphs. Rules can predict facts, help correct errors, and yield explainable insights about the data. However, existing rule mining implementations focus exclusively on mining rules -- and not on their application. The PyClause library offers a rich toolkit for the application of the mined rules: from explaining facts to predicting links, scoring rules, and deducing query results. The library is easy to use and can handle substantial data loads.