Wikipedia Knowledge Graph with DeepDive
DOI:
https://doi.org/10.1609/icwsm.v10i2.14836Abstract
Despite the tremendous amount of information on Wikipedia, only a very small amount is structured. Most of the information is embedded in unstructured text and extracting it is a non trivial challenge. In this paper, we propose a full pipeline built on top of DeepDive to successfully extract meaningful relations from the Wikipedia text corpus. We evaluated the system by extracting company-founders and family relations from the text. As a result, we extracted more than 140,000 distinct relations with an average precision above 90%.
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Published
2021-08-04
How to Cite
Palomares, T., Ahres, Y., Kangaspunta, J., & Ré, C. (2021). Wikipedia Knowledge Graph with DeepDive. Proceedings of the International AAAI Conference on Web and Social Media, 10(2), 65-71. https://doi.org/10.1609/icwsm.v10i2.14836