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Generating Conceptual Subgraph from Tabular Data for Knowledge Graph Matching
2020
International Semantic Web Conference
In this paper, we study the problem of analyzing the relationship between data given in a tabular format and a target knowledge graph, e.g., Wikidata. It is most important to find the label that indicates the correct meaning in Wikidata where data and values are annotated with each label. It is a very difficult task for a machine to correctly understand or infer its meaning. For this to happen, data must be accurately tagged. Wikidata has a label for each document. In addition, it has the
dblp:conf/semweb/KimPLK20
fatcat:jushz4oo5fbgdnufiej6aisihy