Difference between revisions of "Entity-Relationship Queries over Wikipedia"

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{{Infobox work
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| title = Entity-Relationship Queries over Wikipedia
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| date = 2010
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| authors = [[Xiaonan Li]]<br />[[Chengkai Li]]<br />[[Cong Yu]]
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| doi = 10.1145/1871985.1871991
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| link = https://dl.acm.org/citation.cfm?doid=1871985.1871991
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}}
 
'''Entity-Relationship Queries over Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Xiaonan Li]], [[Chengkai Li]] and [[Cong Yu]].
 
'''Entity-Relationship Queries over Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Xiaonan Li]], [[Chengkai Li]] and [[Cong Yu]].
  
 
== Overview ==
 
== Overview ==
 
Wikipedia is the largest user-generated knowledge base. Authors 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. Authors 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 own crafted queries show the effectiveness and accuracy of ranking method.
 
Wikipedia is the largest user-generated knowledge base. Authors 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. Authors 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 own crafted queries show the effectiveness and accuracy of ranking method.

Revision as of 09:16, 19 April 2020


Entity-Relationship Queries over Wikipedia
Authors
Xiaonan Li
Chengkai Li
Cong Yu
Publication date
2010
DOI
10.1145/1871985.1871991
Links
Original

Entity-Relationship Queries over Wikipedia - scientific work related to Wikipedia quality published in 2010, written by Xiaonan Li, Chengkai Li and Cong Yu.

Overview

Wikipedia is the largest user-generated knowledge base. Authors 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. Authors 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 own crafted queries show the effectiveness and accuracy of ranking method.