Freebase

Freebase: A shared database of structured general human knowledge. Freebase is a practical, scalable, graph-shaped database of structured general human knowledge, inspired by Semantic Web research and collaborative data communities such as the Wikipedia. Freebase allows public read and write access through an HTTP-based graph-query API for research, the creation and maintenance of structured data, and application building. Access is free and all data in Freebase has a very open (e.g. Creative Commons, GFDL) license.


References in zbMATH (referenced in 29 articles )

Showing results 1 to 20 of 29.
Sorted by year (citations)

1 2 next

  1. Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Zezhong Xu, Yajing Xu, Ningyu Zhang, Zonggang Yuan, Feiyu Xiong, Huajun Chen: NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs (2022) arXiv
  2. Confalonieri, Roberto; Weyde, Tillman; Besold, Tarek R.; Moscoso del Prado Martín, Fermín: Using ontologies to enhance human understandability of global post-hoc explanations of black-box models (2021)
  3. Cozman, Fabio Gagliardi; Munhoz, Hugo Neri: Some thoughts on knowledge-enhanced machine learning (2021)
  4. Morales, Pedro Ramaciotti; Lamarche-Perrin, Robin; Fournier-S’niehotta, Raphaël; Poulain, Rémy; Tabourier, Lionel; Tarissan, Fabien: Measuring diversity in heterogeneous information networks (2021)
  5. Xu, Mengjia: Understanding graph embedding methods and their applications (2021)
  6. Han, Xiao; Zhang, Chunhong; Guo, Chenchen; Ji, Yang; Hu, Zheng: Distributed representation of knowledge graphs with subgraph-aware proximity (2020)
  7. Han, Yongming; Chen, Guofei; Li, Zhongkun; Geng, Zhiqiang; Li, Fang; Ma, Bo: An asymmetric knowledge representation learning in manifold space (2020)
  8. Ibrahim Abdelaziz, Julian Dolby, James P. McCusker, Kavitha Srinivas: Graph4Code: A Machine Interpretable Knowledge Graph for Code (2020) arXiv
  9. Li, Feng-Lin; Chen, Weijia; Huang, Qi; Guo, Yikun: AliMe KBQA: question answering over structured knowledge for E-commerce customer service (2019)
  10. Li, Juan; Zhang, Wen; Chen, Huajun: Incorporating domain and range of relations for knowledge graph completion (2019)
  11. Nie, Binling; Sun, Shouqian: Context-dependent representation of knowledge graphs (2019)
  12. Shih Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo, Palash Goyal, Mohammad Abdullah Al Faruque: Pykg2vec: A Python Library for Knowledge Graph Embedding (2019) arXiv
  13. Wang, Peiyi; Liu, Hongtao; Wu, Fangzhao; Song, Jinduo; Xu, Hongyan; Wang, Wenjun: REKA: relation extraction with knowledge-aware attention (2019)
  14. Wang, Yashen; Zhang, Huanhuan; Xie, Haiyong: Geography-enhanced link prediction framework for knowledge graph completion (2019)
  15. Wu, Junshuang; Zhang, Richong; Deng, Ting; Huai, Jinpeng: Named entity recognition for open domain data based on distant supervision (2019)
  16. Wu, Peiyun; Zhang, Xiaowang; Feng, Zhiyong: A survey of question answering over knowledge base (2019)
  17. Zheng, Weiguo; Cheng, Hong; Yu, Jeffrey Xu; Zou, Lei; Zhao, Kangfei: Interactive natural language question answering over knowledge graphs (2019)
  18. Wang, Chenguang; Song, Yangqiu; Li, Haoran; Zhang, Ming; Han, Jiawei: Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks (2018)
  19. Zaniolo, Carlo; Gao, Shi; Atzori, Maurizio; Chen, Muhao; Gu, Jiaqi: User-friendly temporal queries on historical knowledge bases (2018)
  20. Trouillon, Théo; Dance, Christopher R.; Gaussier, Éric; Welbl, Johannes; Riedel, Sebastian; Bouchard, Guillaume: Knowledge graph completion via complex tensor factorization (2017)

1 2 next