EntityEngine: answering entity-relationship queries using shallow semantics

Authors:
Xiaonan Li;Chengkai Li;Cong Yu
Affiliations:
University of Texas at Arlington, Arlington, TX, USA;University of Texas at Arlington, Arlington, TX, USA;Yahoo! Research, New York, NY, USA
Venue:
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Year:
2010

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Abstract

We introduce EntityEngine, a system for answering entity-relationship queries over text. Such queries combine SQL-like structures with IR-style keyword constraints and therefore, can be expressive and flexible in querying about entities and their relationships. EntityEngine consists of various offline and online components, including a position-based ranking model for accurate ranking of query answers and a novel entity-centric index for efficient query evaluation.