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What and Who

From Information to Knowledge: Harvesting Entities and Relationships from Web Sources

Gerhard Weikum
Max-Planck-Institut für Informatik - D5
Joint MPI-INF//MPI-SWS Lecture Series
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI  
AG Audience
English

Date, Time and Location

Wednesday, 7 July 2010
16:00
60 Minutes
E1 4
024
Saarbrücken

Abstract

There are major trends to advance the functionality of search engines to a more expressive semantic level.
This is enabled by the advent of knowledge-sharing communities such as Wikipedia and the progress in
automatically extracting entities and relationships from semistructured as well as natural-language Web sources.

Recent endeavors of this kind include DBpedia, EntityCube, KnowItAll, ReadTheWeb,
and our own YAGO-NAGA project (and others).

The goal is to automatically construct and maintain a comprehensive knowledge base of facts about named entities,
their semantic classes, and their mutual relations as well as temporal contexts, with high precision and high recall.

This talk discusses state-of-the-art methods, research opportunities, and open challenges
along this avenue of knowledge harvesting.

Contact

Jennifer Müller
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Jennifer Müller, 06/25/2010 16:28
Jennifer Müller, 06/24/2010 15:56
Jennifer Müller, 02/23/2010 13:02
Anna-Lisa Overhoff, 02/17/2010 14:06 -- Created document.