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 2020-03-06 14:45
Effective Planing for AI/Data Analysis Projects Based on Goal-Oriented Requirements Analysis
Daisuke Okuya, Satoshi Ikada (OKI), Hiroyuki Nakagawa (Osaka Univ.) KBSE2019-49
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, the opportunities for AI and data analysis to be applied to social implementation beyond research subjects are increasing. In the social implementation of AI and data analysis, not only technologies, but also big data according to each field are necessary factor. In this paper, in order to efficiently deal with the increasing number of AI and data analysis projects, we organize technologies and data of multiple stakeholders using the i* framework, which is one of goal-oriented requirements analysis. And we propose a data utilization goal modeling to improve the efficiency of analysis by introducing design patterns. Then, we show the usefulness of data utilization goal modeling by showing an example of supply chain application in the manufacturing field.
Keyword (in Japanese) (See Japanese page) 
(in English) AI / Data Analysis / Goal-Oriented Requirements Analysis / i* framework / Design Pattern / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 467, KBSE2019-49, pp. 19-24, March 2020.
Paper # KBSE2019-49 
Date of Issue 2020-02-28 (KBSE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF KBSE2019-49

Conference Information
Committee KBSE  
Conference Date 2020-03-06 - 2020-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Tenbusu-Naha 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General, Student 
Paper Information
Registration To KBSE 
Conference Code 2020-03-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Effective Planing for AI/Data Analysis Projects Based on Goal-Oriented Requirements Analysis 
Sub Title (in English)  
Keyword(1) AI  
Keyword(2) Data Analysis  
Keyword(3) Goal-Oriented Requirements Analysis  
Keyword(4) i* framework  
Keyword(5) Design Pattern  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Daisuke Okuya  
1st Author's Affiliation Oki Electric Industry Co., Ltd. (OKI)
2nd Author's Name Satoshi Ikada  
2nd Author's Affiliation Oki Electric Industry Co., Ltd. (OKI)
3rd Author's Name Hiroyuki Nakagawa  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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 2020-03-06 14:45:00 
Presentation Time 45 minutes 
Registration for KBSE 
Paper # KBSE2019-49 
Volume (vol) vol.119 
Number (no) no.467 
Page pp.19-24 
#Pages
Date of Issue 2020-02-28 (KBSE) 


[Return to Top Page]

[Return to IEICE Web Page]


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