21 A contents organization method for information sharing systems

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Transcription:

21 A contents organization method for information sharing systems 1125140 2010 3 4

IT i

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

1 1 2 3 2.1...................... 3 2.1.1.......................... 3 2.1.2.................... 5 2.2........ 6 2.2.1............................... 7 2.2.2 Wiki.................................. 7 2.2.3 blog.................................. 8 3 9 3.1 qwikweb................................... 9 3.2.................... 10 4 12 4.1.............................. 12 4.1.1........................... 12 4.1.2................................ 13 4.2................................... 13 4.2.1....................... 14 4.2.2..................... 15 4.2.3..................... 16 4.2.4.................... 17 4.3................................... 17 iii

4.3.1............................... 18 4.3.2....................... 18 4.3.3 Repeated bisection.......................... 19 5 21 5.1...................................... 21 5.2...................................... 21 6 25 26 27 iv

2.1 SECI.................................. 4 2.2............................ 6 2.3 Wiki.............................. 8 3.1.................. 10 3.2.................. 11 4.1......................... 13 4.2............................ 14 4.3................................. 15 4.4................................ 16 4.5................................. 17 4.6.......................... 19 4.7 Repeated bisection.............................. 19 5.1....................... 22 5.2................................. 23 5.3.................... 23 5.4.............. 24 v

4.1............................ 14 vi

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

2

2 IT 2.1 IT 2.1.1 [2] 3

2.1 [3] SECI 2.1 2.1 SECI [4] 4

2.1 2.1.2 [6] 1. 2. 3. 4. 5. 6. 5

2.2 2.2 IT 2.2 2.2 3 CMS Wiki blog CMS CMS Wiki blog 6

2.2 2.2.1 2.2.2 Wiki Wiki 2.3 Wiki HTML Wiki HTML Wiki [5] Wiki 7

2.2 2.3 Wiki 2.2.3 blog blog Weblog blog Wiki 8

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

3.2 3.2 2007 9 blog 2009 10 489 2 4 IT 3.1 27 130 3.1 3.2 5 10

3.2 3.2 [8] 11

4 IT qwikweb qwikweb 4.1 IT 4.1.1 12

4.2 4.1 4.1 4.1.2 OS Web 4.1 4.2 blog CMS 13

4.2 4.1 CPU Intel(R) Pentium(R) 4 CPU 3.00GHz 1024MB OS CentOS 5.1 Web Server Apache2.2.0 DB MySQL 5.0.18 ruby1.8 Ruby on Rails 4.2 4.2 4.2.1 4.3 14

4.2 8 4.3 4.2.2 Internet Message Access Protocol 4.4 15

4.2 4.4 4.2.3 ToDo 4.5 ToDo ToDo ToDo ToDo 16

4.3 4.5 4.2.4 File Transfer Protocol 4.3 qwikweb 2 17

4.3 4.3.1 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) 4.3.2 4.6 18

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 4.3.3 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

4.3 2 20

5 5.1 3 10 4 6 11 27 2 489 5.2 27 1 20 6 42 21

5.2 24 Web 62 539 5.1 5.1 5.1 116 1 4.6 15 5.2 539 149 72.3 5.3 2 15 539 103 8 81 22

5.2 5.2 5.3 2 5.4 23

5.2 5.4 24

6 81 25

26

[1],, The Waseda commercial review, 393, pp.1-41, 2002. [2], 2, 2006. [3],,, 1996. [4], 2C17 : A, Vol.20, No.2, pp. 867-870, 2005. [5],, Vol.10, pp.32-39, 2009 [6], http://home.att.ne.jp/sea/tkn/issues/issue-km.htm,, 2008/2/4. [7], qwikweb: Wiki. HI, pp.5-11, 2004. [8],,,,, Vol.13, No.1 pp. 33-55, 2006. [9] pp.3-6, 2004. 27