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Searching and Ranking in Entity-relationship Graphs: from Web Pages to Knowledge
Gjergji Kasneci
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Searching and Ranking in Entity-relationship Graphs: from Web Pages to Knowledge
Gjergji Kasneci
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.
Media | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
Releasedatum | 26 juni 2010 |
ISBN13 | 9783838117614 |
Utgivare | Suedwestdeutscher Verlag fuer Hochschuls |
Antal sidor | 152 |
Mått | 225 × 9 × 150 mm · 231 g |
Språk | Engelska |
Se alt med Gjergji Kasneci ( t.ex. Pocketbok )