Language-model-based ranking in entity-relation graphs

Authors:
Shady Elbassuoni;Maya Ramanath;Gerhard Weikum
Affiliations:
Max-Planck Institute for Informatics;Max-Planck Institute for Informatics;Max-Planck Institute for Informatics
Venue:
Proceedings of the First International Workshop on Keyword Search on Structured Data
Year:
2009

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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.