Open knowledge base canonicalization with multi-task learning-Reference-Cited by-同舟云学术

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Open knowledge base canonicalization with multi-task learning

Published:2024-07-18 Issue:5 Volume:27 Page:
ISSN:1386-145X
Container-title:World Wide Web
language:en
Short-container-title:World Wide Web

Author:

Liu Bingchen,Peng Huang,Zeng Weixin,Zhao Xiang,Liu Shijun,Pan Li,Li Xin

Funder

the National Key R &;D Program of China

the Shandong Provincial Natural Science Foundation of China

the “New 20 Regulations for Universities” funding program of Jinan

TaiShan Industrial Experts Programme

Key R &;D Program of Shandong Province, China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11280-024-01288-x.pdf

Reference44 articles.

1. Chang, C.-H., Kayed, M., Girgis, M.R., Shaalan, K.F.: A survey of web information extraction systems. IEEE Trans. Knowl. Data Eng. 18(10), 1411–1428 (2006). https://doi.org/10.1109/TKDE.2006.152

2. Suchanek, F.M., Kasneci, G., Weikum, G.: YAGO: A core of semantic knowledge unifying WordNet and wikipedi. In: Proceedings of the 2007 World Wide Web Conference on World Wide Web-WWW’07, pp. 449–458(2007). https://hal.archives-ouvertes.fr/hal-01472497

3. Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: A shared database of structured general human knowledge. In: Proceedings of the Special Interest Group on Management Of Data-SIGMOD’08, pp. 1247–1250 (2008). https://doi.org/10.5555/1619797.1619981

4. Xiong, C., Power, R., Callan, J.: Explicit semantic ranking for academic search via knowledge graph embedding. In: Proceedings of the 26th International Conference on World Wide Web, pp. 1271–1279 (2017). https://doi.org/10.1145/3038912.3052558

5. Kurt, Z., Köllmer, T., Aichroth, P.: An explainable knowledge graph-based news recommendation system. In: Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023, Volume 1: KDIR, Rome, Italy, November 13-15, 2023, pp. 214–221 (2023). https://doi.org/10.5220/0012161300003598

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