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Applying syntactical information in ...

University of California, Irvine.

Applying syntactical information in search.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applying syntactical information in search.
作者:	Wang, Shu.
面頁冊數:	111 p.
附註:	Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1905.
附註:	Adviser: Phillip C-y Sheu.
Contained By:	Dissertation Abstracts International71-03B.
標題:	Engineering, Computer.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3396831
ISBN:	9781109661477

Applying syntactical information in search.
Wang, Shu.

Applying syntactical information in search. - 111 p.

Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1905.

Thesis (Ph.D.)--University of California, Irvine, 2010.

This dissertation addresses the problem about how to apply syntactical information in search.

ISBN: 9781109661477Subjects--Topical Terms:

384375
Engineering, Computer.

Applying syntactical information in search.
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500 $a Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1905.
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502 $a Thesis (Ph.D.)--University of California, Irvine, 2010.
520 $a This dissertation addresses the problem about how to apply syntactical information in search.
520 $a We first survey the various existing methods, focusing on the dilemma that obtaining high accuracy results usually sacrifice the response time. We then propose a novel information retrieval framework to combine keyword-based search and search based on syntactical information. In particular, we design a sequential structure LSC (Language Sequential Component) to encode syntactical information. Given a sentence, LSC provides a bridge from its syntactical representation and semantic meaning. We also propose a learning algorithm to obtain the LSC from a training set, a classification algorithm to find the relevant LSC from a user query to interpret the intentions of the user, and a search framework (called Semantic Search Engine) to incorporate syntactical information into a keyword based search system. Our experiments show the Semantic Search Engine outperforms the keyword-based approach significantly.
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790 1 0 $a Doemer, Rainer $e committee member
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