Entity-relationship queries over Wikipedia
|Entity-relationship queries over Wikipedia|
|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: Arbitrary number, Entity ranking, Entity search, Entity-relationship, Information loss, Inter-relationships, Knowledge base, Query search, Query semantics, Ranking methods, Structured data, Structured entity query, Structured queries, Wikipedia, Knowledge based systems, Semantics, Knowledge management)|
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Entity-relationship queries over Wikipedia 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.
Wikipedia is the largest user-generated knowledge base. We propose a structured query mechanism, entity-relationship query, for searching entities in Wikipedia corpus by their properties and inter-relationships. An entity-relationship query consists of arbitrary number of predicates on desired entities. The semantics of each predicate is specified with keywords. Entity-relationship query searches entities directly over text rather than pre-extracted structured data stores. This characteristic brings two benefits: (1) Query semantics can be intuitively expressed by keywords; (2) It avoids information loss that happens during extraction. We present a ranking framework for general entity-relationship queries and a position-based Bounded Cumulative Model for accurate ranking of query answers. Experiments on INEX benchmark queries and our own crafted queries show the effectiveness and accuracy of our ranking method.
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