05月23日(Tue) 15:50〜17:30 N会場(ウインクあいち-10F 1006会議室)
| 演題番号 | 1N2-OS-39a-1 |
|---|---|
| 題目 | Knowledge Discovery from Linked Data |
| 著者 | 趙 麗花(国立研究開発法人 産業技術総合研究所) Kertkeidkachorn Natthawut(総合研究大学院大学複合科学研究科情報学専攻) 市瀬 龍太郎(国立情報学研究所) |
| 時間 | 05月23日(Tue) 15:50〜16:10 |
| 概要 | Linked Data has been increasing rapidly by publishing machine readable structured data. DBpedia and YAGO are cross-domain data sets, which provide semantic knowledge of things. Although both data sets contain millions of entities, there are still missing knowledge exist in each data set. In this paper, we analyze graph patterns of Linked Data entities to discover missing knowledge in the data sets. We apply word embedding method with traditional ontology matching method to integrate heterogeneous ontologies. By querying Linked Data with integrated ontology, we can discover missing knowledge in the data sets so that we can automatically extend the Linked Data. |
| 論文 | PDFファイル |