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Wikipedia Knowledge Graph with DeepDive

Authors

Thomas Palomares,Youssef Ahres,Juhana Kangaspunta,Christopher Ré

Stanford University,Stanford University,Stanford University,Stanford University


Proceedings:

Vol. 10 No. 2 (2016): The Workshops of the Tenth International AAAI Conference on Web and Social Media

Volume

Issue:

Vol. 10 No. 2 (2016): The Workshops of the Tenth International AAAI Conference on Web and Social Media

Track:

Wiki

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Abstract:

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%.

DOI:

10.1609/icwsm.v10i2.14836


ICWSM

Vol. 10 No. 2 (2016): The Workshops of the Tenth International AAAI Conference on Web and Social Media