Campus Event Calendar
Event Entry
New for: D3
What and Who
Searching and Ranking in Entity-Relationship Graphs
Gjergji Kasneci
Max-Planck-Institut für Informatik - D5
Promotionskolloquium
AG 1, AG 3, AG 4, AG 5, SWS, RG1, MMCI
Public Audience
English
Note: We use this to send email in the morning.
Date, Time and Location
Monday, 21 December 2009
12:00
60 Minutes
E1 4
024
Saarbrücken
Abstract
The Web bears the potential to become the world's most comprehensive knowledge base. Organizing information from the Web into entity-relationship graph structures could
be a first step towards unleashing this potential. In a second step, the inherent semantics of such structures would have to be exploited by expressive search techniques that go beyond
today's keyword search paradigm. In this realm, we have developed NAGA (Not Another Google Answer), a semantic search engine which provides expressive means for querying,
searching and ranking at entity-relationship level. For knowledge discovery tasks, like finding broad or interesting relations between k (>=2) given entities NAGA comes with two
efficient algorithms: STAR (Steiner Tree Approximation in Relationship Graphs), and MING (Mining Informative Graphs). NAGA is a fully implemented prototype system and is part
of the YAGO-NAGA project.
be a first step towards unleashing this potential. In a second step, the inherent semantics of such structures would have to be exploited by expressive search techniques that go beyond
today's keyword search paradigm. In this realm, we have developed NAGA (Not Another Google Answer), a semantic search engine which provides expressive means for querying,
searching and ranking at entity-relationship level. For knowledge discovery tasks, like finding broad or interesting relations between k (>=2) given entities NAGA comes with two
efficient algorithms: STAR (Steiner Tree Approximation in Relationship Graphs), and MING (Mining Informative Graphs). NAGA is a fully implemented prototype system and is part
of the YAGO-NAGA project.
Contact
Petra Schaaf
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Petra Schaaf, 12/11/2009 17:17
Petra Schaaf, 12/11/2009 17:12 -- Created document.
Petra Schaaf, 12/11/2009 17:12 -- Created document.