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What and Who

Gerhard Weikum

Gerhard Weikum
Talk
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, RG2  
Public Audience
English

Date, Time and Location

Thursday, 13 November 2008
09:00
30 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 employing large-scale information extraction of entities and relationships from semistructured as well as natural-language Web sources.

In addition, harnessing Semantic-Web-style ontologies and reaching into Deep-Web sources can contribute towards a grand vision of turning the Web into a comprehensive knowledge base that can be efficiently searched with high precision.
This talk presents ongoing research at the Max-Planck Institute for Informatics towards this objective, centered around the YAGO knowledge base and the NAGA search engine. YAGO is a large collection of entities and relational facts that are harvested from Wikipedia and WordNet with high accuracy and reconciled into a consistent RDF-style "semantic" graph. NAGA provides graph-template-based search over this data, with powerful ranking capabilities based on a statistical language model for graphs.
Advanced queries and the need for ranking approximate matches pose efficiency and scalability challenges that are addressed by algorithmic and indexing techniques.

Contact

Bahareh kadkhodazadeh
0681-302-70156
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Bahareh Kadkhodazadeh, 11/07/2008 14:03 -- Created document.