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Transcription:

18 Building a Knowledge Management System for Acquiring Wisdom of Crowds 1095701 2007 3 16

Blog Wiki Web Web Web i

Abstract Building a Knowledge Management System for Acquiring Wisdom of Crowds Kazunori ARUSE In recent years, many organizations are concerning about sharing information systems. Many approachs which can help the sharing information are suggested. However, there are many problems. To use the knowledge management system has extra stress to users. In addition, it is difficult to use various communication tools together. Therefore, there are few examples to which the knowledge management system is efficiently applied in the organizations. On the other hand, the case using a system like Blog or Wiki as knowledge management is increasing. In this paper, the knowledge management system which has the strong point of various Web services is proposed. Furthermore, this paper shows the differences between our system and other web services and considers the usage of the model. key words know-how, wisdom of crowds, information sharing, knowledge management ii

1 1 2 3 2.1....................... 3 2.2................................. 5 3 Web 7 3.1 Web2.0... 7 3.2 Blog.................................. 9 3.3 Wiki.................................. 10 3.4 Social Networking Site........................ 11 4 14 4.1............. 14 4.2... 15 5 18 5.1....................... 18 5.2............................. 19 5.3... 20 5.4............................... 22 5.5... 23 5.6... 25 6 26 6.1 SECI... 26 iii

6.2..................... 27 6.3................................... 27 6.3.1 SECI... 27 6.3.2........... 29 7 31 33 34 iv

2.1 SECI............................... 4 2.2... 6 3.1 Open PNE....... 12 4.1..................... 16 4.2................. 16 5.1....................... 20 5.2 Folksonomy... 21 5.3... 23 5.4... 24 5.5........................... 24 5.6... 25 v

3.1 Web1.0 Web2.0..................... 8 4.1... 15 5.1................................. 25 6.1 SECI......................... 26 6.2... 27 vi

1 1990 [1] SECI ( ) [2] Blog Wiki SNS(Social Networking Site) Web Blog Blog Wiki Web Web 1

Web SNS Web SNS Web Web 2

2 [3][4] 2.1 [5] 2.1 SECI 3

2.1 SECI ( ) ( ) ( ) ( ) ( ) ( ) 2.1 SECI 4

2.2 SECI [2] 2.2 [6] Tim O Reilly What is Web 2.0[7] Trackback Blog Wikipedia 4 2.2 1. 2. 3. 4. 5

2.2 2.2 [6] SECI 6

3 Web Web 3.1 Web2.0 3.1 Web Web Web HTML Web Blog Wiki Web2.0[7] 7

3.1 Web2.0 3.1 Web1.0 Web2.0 Web1.0 Web2.0 DoubleClick Google AdSense Ofoto Flickr Akamai BitTorrent mp3.com Napster Britannica Online Wikipedia Web Blog evite upcoming.org and EVDB SEO Wikis (Taxonomy) (Folksonomy) 1. Web Yahoo! Web2.0 2. Web2.0 8

3.2 Blog 3. Web Web2.0 Wiki SNS Web Web Web Web 3.2 Blog Blog Weblog Web Blog Blog (TrackBack) Blog Blog Blog Blog 9

3.3 Wiki Blog TrackBack TrackBack Blog 3.3 Wiki Wiki Web Web Wiki Wikiwiki Wiki Wikipedia 1 2001 1 15 2007 1 160 Blog Wiki HTML 1 http://www.wikipedia.com/ 10

3.4 Social Networking Site Wiki Wiki Wiki Blog Wiki KnowWho KnowWho Wiki 3.4 Social Networking Site Social Networking Site(SNS) Web 800 (2007 2 ) mixi 2 SNS 2 http://mixi.jp/ 11

3.4 Social Networking Site 3.1 Open PNE mixi SNS SNS Open PNE 3 Open PNE SNS 3.1 Open PNE SNS [8] SNS SNS SNS 3 http://openpne.jp/ 12

3.4 Social Networking Site SNS Blog Wiki Blog TrackBack SECI 13

4 Blog, Wiki, SNS 4.1 [9] 4.1 SECI 14

4.2 4.1 URL DC.Title DC.Creator DC.Subject DC.Description DC.Format DC.Identifier ID Date,<hi> Wiki 4.2 [10] 4.1 15

4.2 4.1 4.2 4.2 16

4.2 17

5 5.1 1. 2. 3. 4. 5. 18

5.2 6. 7. 8. 9. SECI 5.2 5.1 5.1 A B C A Java Programming B A C A Java 19

5.3 KnowWho A Reply Publish B Comment C Upload Apache Setting A PHP MySQL Setting B Book Algorithm C Java Programming A Apache Setting A Web2.0 Ajax C Testing JUnit Book Algorithm B A C #Import Files from the Internet. Vulnerability Penetration #source.tar.gz Java Web C Copy Search: Java This user can get these Knowledge. The Internet 5.1 5.3 Folksonomy[11] Folksonomy folks( )+taxonomy( ) Folksonomy 5.2 ( ) Folksonomy 20

5.3 group A group B group C group D attaching and referring tag 1 tag 2 tag 3 tag 4 tag 5 tag 6 Contents tags in a name space Example: The Group A members attach the tag 1 and the tag 2 to the Contents. sharing Contents Creator 5.2 Folksonomy flikcr 1 del.icio.us 2 Web Windows Java NetBeans Eclipse Windows Java 1 http://www.flickr.com/ 2 http://del.icio.us/ 21

5.4 1 2 3 4 5 8 9 5.4 Folksonomy 5.3 (Word Excel ) KnowWho ID Folksonomy ( ) 22

5.5 5.3 5.5 5.1 5.4 Wiki 23

5.5 5.4 KnowWho 5.5 5.5 24

5.6 5.6 5.6 5.6 5.1 5.1 OS Windows XP SP2 Web WEBrick 1.3.1 Ruby 1.8.5 Ruby on Rails 1.2.1 MySQL 5.0.26-community-nt 25

6 Blog Wiki SNS Web 4 6.1 SECI SECI 6.1 6.1 SECI Blog Wiki SNS 26

6.2 6.2 6.2 6.2 Blog Wiki SNS 6.3 6.1 6.2 6.3.1 SECI Blog Wiki ( Word Excel ) ( ) SNS 27

6.3 Wiki Blog TrackBack SNS Wiki SNS KnowWho Wiki 28

6.3 6.3.2 SNS Blog Wiki TrackBack SNS Blog TrackBack 29

6.3 Blog 30

7 2 3 Web2.0 Web Web2.0 Web 4 5 Folksonomy 6 5 3 4 SECI 31

(Blog Wiki ) 32

33

[1],,, 1996. [2],,, 10, pp.51-57, Mar. 1997. [3] J.VASCONCELOS, C KIMBLE & F.R.GOUVEIA, A Design for a Group Memory System using Ontologies, Proceedings of 5th UKAIS Conference, April 2000. [4],,, 2003-09-25. [5] IT http://e-words.jp/ [6],, KM :Web2.0,, pp.768-pp.774, 2006 7. [7] O Reilly, T, What is Web 2.0 : Design Patterns and Business Models for the Next Generation of Software, http://www.oreillynet.com/pub/a/oreilly/tim/news/2005/09/30/whatis-web-20.html, 2005. [8], SNS - -,, Vol.47, No.9, pp.993-1000, 2006. [9],,,,,, Vol.42, No.11, pp.2562-2571, Nov. 2001. [10], 2003 [11] T.Ohkura, Y.Kiyota and H.Nakagawa. Browsing System for Weblog Articles based on Automated Folksonomy, WWW2006 Workshop on the Weblogging 34

Ecosystem, May, 2006. Edinburgh, Scotland. 35