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Südwestdeutscher Verlag für Hochschulschriften Searching and Ranking in Entity-Relationship Graphs: From Web Pages to Knowledge

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Description

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. This work proposes a wide variety of novel search and ranking strategies over data that is organized in entity-relationship graphs. All presented techniques have been implemented as components of the NAGA search engine and published in renowned international conferences. NAGA itself is a fully implemented prototype system and is part of the YAGO-NAGA project.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 May 2010
Listed Since
03 June 2010

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