Real-time population of knowledge bases: opportunities and challenges

Authors:
Ndapandula Nakashole;Gerhard Weikum
Affiliations:
Max Planck Institute for Informatics, Saarbrücken, Germany;Max Planck Institute for Informatics, Saarbrücken, Germany
Venue:
AKBC-WEKEX '12 Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction
Year:
2012

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Abstract

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.