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Applying syntactical information in ...

University of California, Irvine.

Applying syntactical information in search.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applying syntactical information in search.
Author:	Wang, Shu.
Description:	111 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1905.
Notes:	Adviser: Phillip C-y Sheu.
Contained By:	Dissertation Abstracts International71-03B.
Subject:	Engineering, Computer.
Online resource:	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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100 1 $a Wang, Shu. $3 492901
245 1 0 $a Applying syntactical information in search.
300 $a 111 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-03, Section: B, page: 1905.
500 $a Adviser: Phillip C-y Sheu.
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.
590 $a School code: 0030.
650 4 $a Engineering, Computer. $3 384375
690 $a 0464
710 2 $a University of California, Irvine. $b Electrical and Computer Engineering - Ph.D. $3 492898
773 0 $t Dissertation Abstracts International $g 71-03B.
790 1 0 $a Sheu, Phillip C-y, $e advisor
790 1 0 $a Meyer, Joerg $e committee member
790 1 0 $a Doemer, Rainer $e committee member
790 $a 0030
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3396831