EntityEngine: Answering entity-relationship queries using shallow semantics
|EntityEngine: Answering entity-relationship queries using shallow semantics|
|Author(s)||Li X., Li C., Yu C.|
|Published in||International Conference on Information and Knowledge Management, Proceedings|
|Keyword(s)||Entity ranking, Entity search, Structured entity query, Wikipedia (Extra: Efficient query evaluation, Entity ranking, Entity search, Entity-relationship, Offline, Online components, Ranking model, Structured entity query, Wikipedia, Semantics, Knowledge management)|
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EntityEngine: Answering entity-relationship queries using shallow semantics is a 2010 conference paper written in English by Li X., Li C., Yu C. and published in International Conference on Information and Knowledge Management, Proceedings.
We introduce EntityEngine, a system for answering entity-relationship queries over text. Such queries combine SQLlike 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.
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