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SIGMOD
2009
ACM

Language-model-based ranking in entity-relation graphs

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Language-model-based ranking in entity-relation graphs
We propose a language-model-based ranking approach for SPARQLlike queries on entity-relationship graphs. Our ranking model supports exact matching, approximate structure matching, and approximate matching with text predicates. We show the effectiveness of our model through examples. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval--Query formulation, Retrieval models General Terms Algorithms, Design, Languages
Shady Elbassuoni, Maya Ramanath, Gerhard Weikum
Added 05 Dec 2009
Updated 05 Dec 2009
Type Conference
Year 2009
Where SIGMOD
Authors Shady Elbassuoni, Maya Ramanath, Gerhard Weikum
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