Language-model-based ranking in entity-relation graphs
Shady Elbassuoni, Maya Ramanath, Gerhard Weikum · 2009
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.