Campus Event Calendar
Event Entry
New for: D3
What and Who
Timely YAGO: Harvesting, Querying, and Visualizing Temporal Knowledge from Web Resources
Yafang Wang
International Max Planck Research School for Computer Science - IMPRS
Talk
AG 1, AG 3, AG 4, AG 5, SWS, RG1, MMCI
Public Audience
English
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Date, Time and Location
Thursday, 21 January 2010
17:00
30 Minutes
E1 4
021
Saarbrücken
Warning: New Room!
Abstract
Recent progress in information extraction has shown how to automatically build large ontologies from high-quality sources like Wikipedia. But knowledge evolves over time; facts have associated validity intervals. Therefore, ontologies should include time as a first-class dimension. We develop Timely YAGO, which extends our previously built knowledge base YAGO with temporal aspects. Timely YAGO exploits different methods to extract as many temporal facts as possible. Mining temporal facts could find interesting relationships among these facts. A SPARQL-like time-aware query language is used for querying.
Contact
imprs
225
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Jennifer Gerling, 01/19/2010 11:24
Jennifer Gerling, 01/18/2010 15:08 -- Created document.
Jennifer Gerling, 01/18/2010 15:08 -- Created document.