While the geographical domain has long been involved as an important part of the Linked Data, the small amount of Chinese linked geographical data impedes the integration and sharing of both Chinese and cross-lingual knowledge. In this paper, we contribute to the development of a new Chinese linked geographical dataset named Clinga, by obtaining data from the largest Chinese wiki encyclopedia. We manually design a new geography ontology to categorize a wide range of physical and human geographical entities, and carry out an automatic discovery of links to existing knowledge bases. The resulted dataset contains over half million Chinese geographical entities and is open access.
CITATION STYLE
Hu, W., Li, H., Sun, Z., Qian, X., Xue, L., Cao, E., & Qu, Y. (2016). Clinga: Bringing chinese physical and human geography in linked open data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9982 LNCS, pp. 104–112). Springer Verlag. https://doi.org/10.1007/978-3-319-46547-0_11
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