東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Semantic Search of Web Services.

Hao, Ke.

FindBook

Google Book

Amazon

博客來

Semantic Search of Web Services.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Semantic Search of Web Services./
作者:	Hao, Ke.
面頁冊數:	108 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.
Contained By:	Dissertation Abstracts International74-07B(E).
標題:	Engineering, Computer. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3557251
ISBN:	9781303001826

Semantic Search of Web Services.
Hao, Ke.

Semantic Search of Web Services. - 108 p.

Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.

Thesis (Ph.D.)--University of California, Irvine, 2013.

This dissertation addresses semantic search of Web services using natural language processing.

ISBN: 9781303001826Subjects--Topical Terms:

1669061
Engineering, Computer.

Semantic Search of Web Services.
LDR:01978nam 2200325 4500 001 1957352
005 20131202131342.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303001826
035 $a (UMI)AAI3557251
035 $a AAI3557251
040 $a UMI $c UMI
100 1 $a Hao, Ke. $3 2092234
245 1 0 $a Semantic Search of Web Services.
300 $a 108 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-07(E), Section: B.
500 $a Adviser: Phillip C-Y Sheu.
502 $a Thesis (Ph.D.)--University of California, Irvine, 2013.
520 $a This dissertation addresses semantic search of Web services using natural language processing.
520 $a We first survey various existing approaches, focusing on the fact that the expensive costs of current semantic annotation frameworks result in limited use of semantic search for large scale applications. We then propose a vector space model based service searching framework to combine traditional frequency weighted term-document matrix and syntactical information extracted from a lexical database and a dependency grammar parser. In particular, instead of using terms as the rows in a term-document matrix, we propose using synsets in WordNet to distinguish different meanings of a word under different contexts as well as clustering different words with the similar meaning. Also based on the characteristics of Web services descriptions, we propose an approach to identifying semantically important terms to adjust the weights. Our experiments show that our approach achieves its goal well.
590 $a School code: 0030.
650 4 $a Engineering, Computer. $3 1669061
650 4 $a Information Technology. $3 1030799
650 4 $a Computer Science. $3 626642
690 $a 0464
690 $a 0489
690 $a 0984
710 2 $a University of California, Irvine. $b Electrical and Computer Engineering - Ph.D. $3 1670048
773 0 $t Dissertation Abstracts International $g 74-07B(E).
790 1 0 $a Sheu, Phillip C-Y, $e advisor
790 1 0 $a Gaudiot, Jean-Luc $e committee member
790 1 0 $a Doemer, Rainer $e committee member
790 $a 0030
791 $a Ph.D.
792 $a 2013
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3557251