DBpedia: a nucleus for a web of open data. DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against datasets derived from Wikipedia and to link other datasets on the Web to Wikipedia data. We describe the extraction of the DBpedia datasets, and how the resulting information is published on the Web for human-andmachine-consumption. We describe some emerging applications from the DBpedia community and show how website authors can facilitate DBpedia content within their sites. Finally, we present the current status of interlinking DBpedia with other open datasets on the Web and outline how DBpedia could serve as a nucleus for an emerging Web of open data.

References in zbMATH (referenced in 54 articles )

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  4. Luigi Bellomarini, Georg Gottlob, Emanuel Sallinger: The Vadalog System: Datalog-based Reasoning for Knowledge Graphs (2020) arXiv
  5. Jiang, Yuncheng: A formal model of semantic computing (2019)
  6. Joana M. F. da Trindade, Konstantinos Karanasos, Carlo Curino, Samuel Madden, Julian Shun: Kaskade: Graph Views for Efficient Graph Analytics (2019) arXiv
  7. Leone, Nicola; Allocca, Carlo; Alviano, Mario; Calimeri, Francesco; Civili, Cristina; Costabile, Roberta; Fiorentino, Alessio; FuscĂ , Davide; Germano, Stefano; Laboccetta, Giovanni; Cuteri, Bernardo; Manna, Marco; Perri, Simona; Reale, Kristian; Ricca, Francesco; Veltri, Pierfrancesco; Zangari, Jessica: Enhancing DLV for large-scale reasoning (2019)
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  19. Wang, Chenguang; Song, Yangqiu; Li, Haoran; Zhang, Ming; Han, Jiawei: Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks (2018)
  20. Zaniolo, Carlo; Gao, Shi; Atzori, Maurizio; Chen, Muhao; Gu, Jiaqi: User-friendly temporal queries on historical knowledge bases (2018)

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