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  1. Proceedings of the First International Workshop on Keyword Search on Structured Data (KEYS '09)
  2. Language-model-based ranking in entity-relation graphs
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Structured data and web documents: better together?
Querying text databases and the web: beyond traditional keyword search
Hierarchical result views for keyword queries over relational databases
Query segmentation using conditional random fields
Building search applications with Marklogic Server
Efficient top-k algorithms for fuzzy search in string collections
Keyword query cleaning using hidden Markov models
XML keyword query refinement
A first study on strategies for generating workflow snippets
Do we mean the same?: disambiguation of extracted keyword queries for database search
Language-model-based ranking in entity-relation graphs
Generic and effective semi-structured keyword search
DBDOC: querying and browsing databases and interrelated documents

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Language-model-based ranking in entity-relation graphs

Content Provider ACM Digital Library
Author Weikum, Gerhard Elbassuoni, Shady Ramanath, Maya
Abstract We propose a language-model-based ranking approach for SPARQL-like 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.
Starting Page 43
Ending Page 44
Page Count 2
File Format PDF
ISBN 9781605585703
DOI 10.1145/1557670.1557686
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-06-28
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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