DBpedia

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 53 articles )

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  1. Bloem, Peter; de Rooij, Steven: Large-scale network motif analysis using compression (2020)
  2. Fiorentino, Alessio; Zangari, Jessica; Manna, Marco: DaRLing: a Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries (2020)
  3. Ibrahim Abdelaziz, Julian Dolby, James P. McCusker, Kavitha Srinivas: Graph4Code: A Machine Interpretable Knowledge Graph for Code (2020) arXiv
  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)
  8. Li, Feng-Lin; Chen, Weijia; Huang, Qi; Guo, Yikun: AliMe KBQA: question answering over structured knowledge for E-commerce customer service (2019)
  9. Motik, Boris; Nenov, Yavor; Piro, Robert; Horrocks, Ian: Maintenance of datalog materialisations revisited (2019)
  10. Nie, Binling; Sun, Shouqian: Context-dependent representation of knowledge graphs (2019)
  11. Shih Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque: Pykg2vec: A Python Library for Knowledge Graph Embedding (2019) arXiv
  12. Wang, Peiyi; Liu, Hongtao; Wu, Fangzhao; Song, Jinduo; Xu, Hongyan; Wang, Wenjun: REKA: relation extraction with knowledge-aware attention (2019)
  13. Wu, Junshuang; Zhang, Richong; Deng, Ting; Huai, Jinpeng: Named entity recognition for open domain data based on distant supervision (2019)
  14. Wu, Peiyun; Zhang, Xiaowang; Feng, Zhiyong: A survey of question answering over knowledge base (2019)
  15. Zhang, Lei; Wu, Tianxing; Xu, Liang; Wang, Meng; Qi, Guilin; Sack, Harald: Emerging entity discovery using web sources (2019)
  16. Bian, Tian; Deng, Yong: Identifying influential nodes in complex networks: a node information dimension approach (2018)
  17. Chen, Liwei; Feng, Yansong; Huang, Songfang; Luo, Bingfeng; Zhao, Dongyan: Encoding implicit relation requirements for relation extraction: a joint inference approach (2018)
  18. Kaminski, Mark; Kostylev, Egor V.: Complexity and expressive power of weakly well-designed SPARQL (2018)
  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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