论文标题
DBKWIK ++ - 知识图的多源匹配
DBkWik++ -- Multi Source Matching of Knowledge Graphs
论文作者
论文摘要
诸如DBPedia和Yago之类的大知识图始终基于同一来源，即Wikipedia。但是，还有更多的Wiki包含有关长尾实体的信息，例如Wiki托管平台，例如Fandom。在本文中，我们介绍了数千个Wiki的融合知识图DBKWIK ++的方法和分析。 DBPEDIA框架的修改版本应用于每个Wiki，从而导致许多孤立的知识图。通过基于增量合并的方法，我们重复使用一对一的匹配系统来解决多源kg匹配任务。基于此对齐方式，我们创建了一个超过1500万个实例的合并知识图。
Large knowledge graphs like DBpedia and YAGO are always based on the same source, i.e., Wikipedia. But there are more wikis that contain information about long-tail entities such as wiki hosting platforms like Fandom. In this paper, we present the approach and analysis of DBkWik++, a fused Knowledge Graph from thousands of wikis. A modified version of the DBpedia framework is applied to each wiki which results in many isolated Knowledge Graphs. With an incremental merge based approach, we reuse one-to-one matching systems to solve the multi source KG matching task. Based on this alignment we create a consolidated knowledge graph with more than 15 million instances.
