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Real-time Population of Knowledge Bases: Opportunities and Challenges

Published on Jul 13, 20123374 Views

Ndapandula Nakashole

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 pro

AKBC-WEKEX 2012 - Montreal

Related categories

Information ExtractionNatural Language Processing Semantic WebText Mining

Chapter list

Real-time population of Knowledge Bases: Opportunities and Challenges00:00
Real-time Data Sources00:24
Goal: Real-time KBP01:48
Stories and Events02:19
Challenges (1): Relation Discovery02:44
Challenge (2): Dynamic Entity Discovery03:20
Challenge (3): Extraction under Time Constraints04:18
Our Approach04:46
Approach – Relation Discovery: Semantically-typed patterns (1)04:55
Approach – Relation Discovery: Semantically-typed patterns (2)06:06
Approach – Dynamic Entity Discovery: Infer types for new entities06:53
Approach – Time Constraints: Continuous processing model08:26
Thanks09:20