CASIA-KB: A Multi-source Chinese Semantic Knowledge Base Built from Structured and Unstructured Web Data

  • Yi Zeng
  • Dongsheng Wang
  • Tielin Zhang
  • Hao Wang
  • Hongwei Hao
  • Bo Xu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8388)


Knowledge bases play a crucial role in intelligent systems, especially in the Web age. Many domain dependent and general purpose knowledge bases have been developed to support various kinds of applications. In this paper, we propose the CASIA-KB, a Chinese semantic knowledge base built from various Web resources. CASIA-KB utilizes Semantic Web and Natural Language Processing techniques and mainly focuses on declarative knowledge. Most of the knowledge is textual knowledge extracted from structured and unstructured sources, such as Web-based Encyclopedias (where more formal and static knowledge comes from), Microblog posts and News (where most updated factual knowledge comes from). CASIA-KB also aims at bringing in images and videos (which serve as non-textual knowledge) as relevant knowledge for specific instances and concepts since they bring additional interpretation and understanding of textual knowledge. For knowledge base organization, we briefly discussed the current ontology of CASIA-KB and the entity linking efforts for linking semantically equivalent entities together. In addition, we build up a SPARQL endpoint with visualization functionality for query processing and result presentation, which can produce query output in different formats and with result visualization supports. Analysis on the entity degree distributions of each individual knowledge source and the whole CASIA-KB shows that each of the branch knowledge base follows power law distribution and when entities from different resources are linked together to build a merged knowledge base, the whole knowledge base still keeps this structural property.


Chinese semantic knowledge base Web of data Semantic web Information extraction 


  1. 1.
    Lenat, D.B.: CYC: a large-scale investment in knowledge infrastructure. Commun. ACM 38(11), 32–38 (1995)Google Scholar
  2. 2.
    Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: DBpedia - a crystallization point for the web of data. Web Semant.: Sci. Serv. Agents World Wide Web 7(3), 154–165 (2009)CrossRefGoogle Scholar
  3. 3.
    Suchanek, F.M., Kasneci, G., Weikum, G.: YAGO: a large ontology from Wikipedia and WordNet. Web Semant.: Sci. Serv. Agents World Wide Web 6(3), 203–217 (2008)CrossRefGoogle Scholar
  4. 4.
    Havasi, C., Speer, R., Alonso, J.: ConceptNet: a lexical resource for common sense knowledge. In: Nicolov, N., Angelova, G., Mitkov, R. (eds.) Recent Advances in Natural Language Processing, vol. 5. John Bernjamins Publishers, Amsterdam (2009)Google Scholar
  5. 5.
    Carlson, A., Betteridge, J., Kisiel, B., Settles, B., Hruschka, E.R., Jr., Mitchell, T.M.: Toward an architecture for never-ending language learning. In: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2010), Georgia, USA, 11–15 July 2010Google Scholar
  6. 6.
    Cao, C., Feng, Q., Gao, Y., Gu, F., Si, J., Sui, Y., Tian, W., Wang, H., Wang, L., Zeng, Q., Zhang, C., Zheng, Y., Zhou, X.: Progress in the development of national knowledge infrastructure. J. Comput. Sci. Technol. 17(5), 523–534 (2002)CrossRefMATHGoogle Scholar
  7. 7.
    Niu, X., Sun, X., Wang, H., Rong, S., Qi, G., Yu, Y.: - weaving Chinese linking open data. In: Aroyo, L., Welty, C., Alani, H., Taylor, J., Bernstein, A., Kagal, L., Noy, N., Blomqvist, E. (eds.) ISWC 2011, Part II. LNCS, vol. 7032, pp. 205–220. Springer, Heidelberg (2011)Google Scholar
  8. 8.
    Wang, Z., Wang, Z., Li, J., Pan, J.: Knowledge extraction from Chinese Wiki Encyclopedias. J. Zhejiang Univ.-SCI. C 13(4), 268–280 (2012)CrossRefGoogle Scholar
  9. 9.
    Wang, Z., Li, J., Wang, Z., Tang, J.: Cross-lingual knowledge linking across Wiki knowledge bases. In: Proceedings of the 21st World Wide Web Conference (WWW 2012), Lyon, France, 16–20 April 2012, pp. 459–468 (2012)Google Scholar
  10. 10.
    Zeng, Y., Wang, H., Hao, H., Xu, B.: Statistical and structural analysis of web-based collaborative knowledge bases generated from Wiki Encyclopedia. In: Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2012), Macau, China, 4–7 December 2012, pp. 553–557 (2012)Google Scholar
  11. 11.
    Zeng, Y., Hao, H., Xu, B.: Entity conceptualization and understanding based on web-scale knowledge bases. In: Proceedings of the 2013 IEEE International Conference on System, Man, and Cybernetics (SMC 2013), Manchester, UK (2013)Google Scholar
  12. 12.
    Larkin, J., Simon, H.: Why a diagram is (Sometimes) worth ten thousand words. Cogn. Sci. 11, 65–99 (1987)CrossRefGoogle Scholar
  13. 13.
    Song, Y., Wang, H., Wang, Z., Li, H., Chen, W.: Short text conceptualization using a probabilistic knowledgebase. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI 2011), Barcelona, Spain, 16–22 July 2011, pp. 2330–2336 (2011)Google Scholar
  14. 14.
    Zeng, Y., Wang, D., Zhang, T., Wang, H., Hao, H.: Linking entities in short texts based on a Chinese semantic knowledge base. In: Zhou, G., Li, J., Zhao, D., Feng, Y. (eds.) NLPCC 2013. CCIS, vol. 400, pp. 266–276. Springer, Heidelberg (2013)Google Scholar
  15. 15.
    Sun, X., Zhuge, H.: Merging complex networks. In: Proceedings of the Seventh International Conference on Semantics Knowledge and Grid (SKG 2011), Beijing, China, 24–26 October 2011, pp. 233–236 (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yi Zeng
    • 1
  • Dongsheng Wang
    • 1
  • Tielin Zhang
    • 1
  • Hao Wang
    • 1
  • Hongwei Hao
    • 1
  • Bo Xu
    • 1
  1. 1.Institute of AutomationChinese Academy of SciencesBeijingChina

Personalised recommendations