Real-time Population of Knowledge Bases: Opportunities and Challenges

author: Ndapandula Nakashole, Max Planck Institute for Informatics, Max Planck Institute
recorded by: AKBC-WEKEX
published: July 13, 2012,   recorded: June 2012,   views: 3351
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Description

Dynamic content is a frequently accessed part of the Web. However, most information extraction approaches are batch-oriented, thus not effective for gathering rapidly changing data. This paper proposes a model for fact extraction in real-time. Our model addresses the difficult challenges that timely fact extraction on frequently updated data entails. We point out a naive solution to the main research question and justify the choices we make in the model we propose.

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Comment1 fayrouz, April 14, 2022 at 9:56 a.m.:

Great lecture.
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