Abstract
Knowledge graphs (KGs) are developing rapidly and has a wide range of applications in various fields. But there have been relatively few Chinese encyclopedias with the scholar knowledge graph so far. Therefore, we rely on the academic social network-SCHOLAT to complete the construction of scholar KG. The purpose of this scholar KG is to solve the problems that the information of scholars is not updated in time and scattered in the organizations’ websites. This paper introduces in detail the key technologies for constructing scholar KG, such as knowledge extraction, organization and management of scholar KG. At the same time, we take advantages of KG in semantic expression into account. We apply the scholar KG to the scholar encyclopedia system. Based on the scholar KG, we completed the scholar recommendation on the Scholar Encyclopedia. On the other hand, the scholar KG will also provide the basis for more intelligent applications of SCHOLAT in the future.
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This work was supported by National Natural Science Foundation of China under grant number 61772211, by National Natural Science Foundation of China under grant number U1811263.
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Hu, K., Li, J., Chen, W., Yuan, C., Xu, Q., Tang, Y. (2021). Scholar Knowledge Graph and Its Application in Scholar Encyclopedia. In: Sun, Y., Liu, D., Liao, H., Fan, H., Gao, L. (eds) Computer Supported Cooperative Work and Social Computing. ChineseCSCW 2020. Communications in Computer and Information Science, vol 1330. Springer, Singapore. https://doi.org/10.1007/978-981-16-2540-4_41
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DOI: https://doi.org/10.1007/978-981-16-2540-4_41
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