IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2013-03-15 15:50
Calculating Word Similarity for Context Aware Web Service Clustering
Hiroki Ohashi, Incheon Paik (Univ. of Aizu)
Abstract (in Japanese) (See Japanese page) 
(in English) Web service discovery is becoming a challenging and time consuming task due to large number of Web services available on the Internet. Organizing the Web services into functionally similar clusters is one of a very efficient approach for reducing the search space. To cluster Web services, we first extract the features (e.g., service name) to measure the similarities from service descriptions from Web or registry. The services usually consist of complex terms, from which we can get service features in some contexts. Current works for service clustering have not considered the context. To make clustering of web services by domain context, we need calculation of terms similarity under a specific context. In this paper, we suggest a novel method to measure terms similarity consider the specific domain context using machine learning.
Keyword (in Japanese) (See Japanese page) 
(in English) Web Service / Word Similarity / Clutering / / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 497, SC2012-22, pp. 29-31, March 2013.
Paper # SC2012-22 
Date of Issue 2013-03-08 (SC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Download PDF

Conference Information
Committee SC  
Conference Date 2013-03-15 - 2013-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SC 
Conference Code 2013-03-SC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Calculating Word Similarity for Context Aware Web Service Clustering 
Sub Title (in English)  
Keyword(1) Web Service  
Keyword(2) Word Similarity  
Keyword(3) Clutering  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Hiroki Ohashi  
1st Author's Affiliation University of Aizu (Univ. of Aizu)
2nd Author's Name Incheon Paik  
2nd Author's Affiliation University of Aizu (Univ. of Aizu)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2013-03-15 15:50:00 
Presentation Time 30 minutes 
Registration for SC 
Paper # SC2012-22 
Volume (vol) vol.112 
Number (no) no.497 
Page pp.29-31 
#Pages
Date of Issue 2013-03-08 (SC) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan