21 A contents organization method for information sharing systems

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1 21 A contents organization method for information sharing systems

2 IT i

3 Abstract A contents organization method for information sharing systems Aoki, Wataru Organizations to share information, enhance the quality of work. Many organizations are introducing IT-based information sharing systems that is practical to utilize an information sharing. However, continued use of the system is difficult because of psychological resistance. In order to share knowledge, particularly knowledge must be verbalized, is generally difficult. We have developed a system for sharing digital content within the organization. Information sharing system to accumulate large amounts of information. We describes a contents organization method for information sharing systems. key words Know-how Information sharing, contents organization method ii

4 Wiki blog qwikweb iii

5 Repeated bisection iv

6 2.1 SECI Wiki Repeated bisection v

7 vi

8 1 IT Content Management System(CMS) CMS blog Wiki SNS CMS [1] IT IT 1

9 2

10 2 IT 2.1 IT [2] 3

11 2.1 [3] SECI SECI [4] 4

12 [6]

13 IT CMS Wiki blog CMS CMS Wiki blog 6

14 Wiki Wiki 2.3 Wiki HTML Wiki HTML Wiki [5] Wiki 7

15 Wiki blog blog Weblog blog Wiki 8

16 3 CMS 3.1 qwikweb qwikweb[7] Wiki Wiki Wiki Wiki Wiki Wiki Wiki qwikwiki Wiki 9

17 blog IT

18 [8] 11

19 4 IT qwikweb qwikweb 4.1 IT

20 OS Web blog CMS 13

21 CPU Intel(R) Pentium(R) 4 CPU 3.00GHz 1024MB OS CentOS 5.1 Web Server Apache2.2.0 DB MySQL ruby1.8 Ruby on Rails

22 Internet Message Access Protocol

23 ToDo 4.5 ToDo ToDo ToDo ToDo 16

24 File Transfer Protocol 4.3 qwikweb 2 17

25 tf-idf [9] tf-idf tf(term frequency) idf(inverse document frenqency) tf 4.2 idf 4.3 D T tfreq(t,d) T dfreq(t) M T D w(t,d) 4.1 w(t, D) = tf(t, D) idf(t ) (4.1) tf(t, D) = log(tfreq(t, D)) log(tnum(d)) (4.2) M idf(t ) = log( dfreq(t ) ) (4.3)

26 4.3 情報分類 を操作する 利用者の判断は特徴語が 情報の特徴を正しく表しているか いないのかの 2 値で行う 特徴を正しく表している場合は 正しく表わしていない場合は を選択する 図 4.6 特徴語評価インタフェース Repeated bisection 抽出した特徴語を用いて情報を分類する Repeated bisection はクラスタリングツール CLUTO で使用されているクラスタリング手法であり 情報を 2 分割していくことでクラス タリングを実行する このクラスタリング手法はソートアルゴリズムの中でも高速かつ軽量 なクイックソートアルゴリズムに類似している部分があり 大量の情報を高速に扱うことが できる Repeated bisection の概要を図 4.7 に示す まず 情報集合の中からランダムに 2 図 4.7 Repeated bisection つ要素を選択し それぞれを格納する情報集合を作成する 元の情報集合の全ての要素に対 19

27

28

29 Web

30

31

32

33 26

34 [1],, The Waseda commercial review, 393, pp.1-41, [2], 2, [3],,, [4], 2C17 : A, Vol.20, No.2, pp , [5],, Vol.10, pp.32-39, 2009 [6], /2/4. [7], qwikweb: Wiki. HI, pp.5-11, [8],,,,, Vol.13, No.1 pp , [9] pp.3-6,

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