¾ðÊóÃμ±³Ø²ñ»ï ¾¶Ï¿ (Vol. 14, No. 4)

¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 1-16

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Gen NAGAMURA

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¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 17-24

Áí̳¾Ê¤Ë¤ª¤±¤ëXML¤Î¼èÁÈÊ¿À®16ǯ10·î30Æü
Áí̳¾Ê¼«¼£¹ÔÀ¯¶ÉÃÏ°è¾ðÊóÀ¯ºö¼¼ ''
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¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 25-32

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¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 33-39

µÄ²ñ»ñÎÁ¤ÎXML²½¼Â¾Ú»î¸³
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E¡ÝJapanÀïά¡¢ÅŻҼ«¼£Âι½ÁÛ¤Î¥×¥í¥¸¥§¥¯¥È¤¬Áí̳¾Ê¤òÃæ¿´¤Ë¡¢³Æ¼«¼£ÂΤˤª¤¤¤ÆÂϿʤµ¤ì¤Æ¤¤¤ë¡£¤³¤ì¤Ë´ØÏ¢¤·¤Æ¡¢¾ðÊó¤Î¶¦Í­²½¤äÊ£¿ôÇÞÂΤؤΥǡ¼¥¿ºÆÍøÍѤʤɤÎÍøÊØÀ­¤Î´ÑÅÀ¤«¤é¡¢XMLÍøÍѤ¬´ðËܤȤʤäƤ¤¤ë¡£¤·¤«¤·¡¢XML¤Ë¤Ä¤¤¤Æ¤Ï¤«¤Ê¤ê¤ËǧÃΤµ¤ì¤ë¤è¤¦¤Ë¤Ê¤Ã¤¿¤â¤Î¤Î¡¢¼ÂºÝ¤Ë¡¢XML²½¤¹¤ë¤³¤È¤Ë¤è¤ê¡¢ÍøÍѼԤǤ¢¤ë¼«¼£ÂΤä°ìÈÌ»Ô̱¤Ë¤É¤ì¤Û¤ÉÊØÍø¤Ê¤â¤Î¤Ç¤¢¤ë¤Î¤«¡¢¤Þ¤¿ÌäÂêÅÀ¤Ï¤Ê¤¤¤Î¤«¤È¤¤¤Ã¤¿¤³¤È¤Ë¤Ä¤¤¤Æ¤Ï¡¢¤¢¤Þ¤ê¼Â´¶¤µ¤ì¤Æ¤¤¤Ê¤¤¤Î¤¬¸½¼Â¤Ç¤¢¤ë¡£ ¡¡¤³¤Î¤è¤¦¤ÊÌäÂê°Õ¼±¤«¤é¡¢¼ÂºÝ¤Ë¼«¼£ÂΤǹ­¤¯¶¦ÄÌŪ¤ËÍøÍѤµ¤ì¤Æ¤¤¤ëµÄ²ñ²ñµÄÏ¿¤òÍѤ¤¤Æ¡¢¤³¤ì¤òXML²½¤·¡¢¸½ºß¤ÎÍøÍÑÊýË¡¤È¤ÎÈæ³Ó¤ò¹Ô¤Ã¤Æ¡¢¤½¤ÎĹ½ê¡¦Ã»½ê¤Ë¤Ä¤¤¤Æ¼Â¾ÚŪ¤Ë¸¡Æ¤¤ò¹Ô¤Ã¤Æ¤ß¤¿¡£

¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 40-51

¹­Ä°¹­Êó¶È̳¤Ë¤ª¤±¤ëWeb¥µ¥¤¥È³èÍѤˤè¤ë¥³¥ß¥å¥Ë¥±¡¼¥·¥ç¥ó
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¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4),52-63

¥Ð¥ê¥¢¥Õ¥ê¡¼²½¤ÈWeb¹½ÃۤδðÁõ»½Ñ¡ÝXHTML1.1
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¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 64-71

¥¢¡¼¥«¥¤¥Ö¥º¤Ë¤ª¤±¤ëXML²½
¡ÝÁÈ¿¥ÂΤÎÃμ±´ÉÍý¤ÎÇطʤȤ·¤Æ¡Ý
XML at Archives in Japan:
the background of the knowledge management
¸ÞÅçÉÒ˧
Haruyoshi GOTOH

¡¡¼«¼£ÂΤò¤Ï¤¸¤á¼ï¡¹¤ÎÁÈ¿¥ÂΤËÈ÷¤ï¤ë¤Ù¤­¥¢¡¼¥«¥¤¥Ö¥º¤Ë¤ª¤¤¤ÆXML¤¬¤É¤Î¤è¤¦¤ËÍøÍѤµ¤ì¤ë¤Î¤«¡¤ÆüËܤΥ¢¡¼¥«¥¤¥Ö¥º¤Ç¼Â¸½¤Þ¤¿¤ÏÁÛÄꤵ¤ì¤ëÍøÍѤΤ¢¤êÊý¤ò¹Í¤¨¤ë¡¥¥¢¡¼¥«¥¤¥Ö¥º¤ÎÊìÂΤȤʤëÁÈ¿¥ÂΤǰ·¤ï¤ì¤ë¾ðÊó¤äµ­Ï¿¤¬ÅÅ»ÒŪ¤Ë¸Ω¤·XML²½¤µ¤ì¤ë¤È¤¹¤ì¤Ð¡¤ÅÅ»ÒŪ¾ðÊó¤ò°·¤¦¥¢¡¼¥«¥¤¥Ö¥º¤Ç¤ÎXMLÍøÍѤϡ¤¤½¤ÎÁÈ¿¥ÂΤθ½¾ì¤Ç¤Îµ­Ï¿´ÉÍý¤äXMLÍøÍѤòµ¬ÄꤷÀ©¸æ¤¹¤ë²ÄǽÀ­¤¬¤¢¤ë¡¥ÁÈ¿¥ÂΤε­Ï¿´ÉÍý¤¬¥¢¡¼¥«¥¤¥Ö¥º¤Îµ­Ï¿»ËÎÁ´ÉÍý¤ÈϢ³Ū¤Ë¤Ê¤ì¤Ð¡¤¥¢¡¼¥«¥¤¥Ö¥º¤ÏÁÈ¿¥ÂΤˤȤäÆÃμ±´ÉÍý¤Ê¤É¤Ë¤ª¤¤¤Æ¤¤¤Ã¤½¤¦³èÍѲÄǽ¤Ê¸ºß¤È¤Ê¤ë¤À¤í¤¦¡¥

This article considers the using or XML at the archives in Japan. It also insists on the following: If information or records are managed electronic in an organization, the using of XML at the archives will control the using of XML at the organization; If the records management and the archival management are consecutive, the archives will be used for the knowledge management at the organization.

¥­¡¼¥ï¡¼¥É¡§¥¢¡¼¥«¥¤¥Ö¥º,¡¡XML,¡¡µ­Ï¿´ÉÍý,¡¡ÁÈ¿¥ÂηбÄ,¡¡µ­Ï¿»ËÎÁ´ÉÍý,¡¡µ­Ï¿»ËÎÁÌÜÏ¿

archives, XML, record management, administration of organization, management of archives, archival finding aids

¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 72-80

ÅŻҼ«¼£ÂΤ˸þ¤±¤¿¾ðÊó¸ò´¹¥×¥é¥Ã¥È¥Õ¥©¡¼¥à
Information exchange platform among citizens and municipal governments
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Shiro Sonehara
Research Development&Incubation Division
KOKUYO CO.,LTD.

¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 81-88

ÅŻҼ«¼£ÂΤ˴üÂÔ¤¹¤ë¤³¤È¡Ê¿ÀÆàÀ¤Î¾õ¶·¤«¤é¡Ë
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¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 89-104

³¬Áع½Â¤¤òÍ­¤¹¤ëÊ£¿ô½Ì¼ÜÃÏ¿Þ¥Ù¥¯¥È¥ë¥Ç¡¼¥¿¤Î
°ì¸µÅª´ÉÍýÊý¼°¤Ë´Ø¤¹¤ë¸¡Æ¤
Consideration¡¡on¡¡a¡¡Unifed¡¡Managing¡¡Method
for Multiple Scale Vectorized Map Data
using Hierarchical Structure
ÈÓ¼ °ËÃÒϺ ²ÃÆ£ À¿Ì¦ Ã滳 ÌС¡ ÁÒÀî ¿·Ìé
Ichiro IIMURA Masami KATO
Shigeru NAKAYAMA and Shinya KURAKAWA

É®¼Ô¤é¤Ï¡¤³¬Áع½Â¤¤òÍ­¤¹¤ëÊ£¿ô½Ì¼Ü¤Î¥Ù¥¯¥È¥ëÃϿޥǡ¼¥¿¤ò°ì¸µÅª¤Ë´ÉÍý¤¹¤ëÊý¼°¤Ë¤Ä¤¤¤Æ¸¡Æ¤¤ò¿Ê¤á¤Æ¤­¤¿¡¥¥Ù¥¯¥È¥ëÃϿޥǡ¼¥¿¤òÌÚ¹½Â¤¤È¤·¤Æ´ÉÍý¤¹¤ë¤³¤È¤Ç¡¤É½¼¨¤¹¤ëÃϿޤν̼ܤ˱þ¤¸¤ÆɬÍפʥǡ¼¥¿¤Î¤ß¤òÍưפËÃê½Ð¤·¤ÆÉÁ²è¤Ç¤­¤ëÊý¼°¤Ç¤¢¤ë¡¥¤³¤ÎÄó°ÆÊý¼°¤Ï¡¤ ½Ì¼Ü¤Ë´Ø·¸¤Ê¤¯¾ï¤Ë¤¹¤Ù¤Æ¤Î¾ðÊó¤òÉÁ²è¤¹¤ëÊý¼°¤ËÈæ¤Ù¤è¤ê¹â®¤ÊÉÁ²è¤¬²Äǽ¤Ç¤¢¤ê¡¤¤Þ¤¿½Ì¼Ü¤´¤È¤ËÆÈΩ¤·¤¿¥Ç¡¼¥¿¤ò¤¢¤é¤«¤¸¤áÍÑ°Õ¤¹¤ëÊý¼°¤ËÈæ¤ÙÁí¥Ç¡¼¥¿Î̤òºï¸º¤Ç¤­¤ëÆÃħ¤òÈ÷¤¨¤Æ¤¤¤ë¡¥¤Þ¤¿¡¤Äó°ÆÊý¼°¤Ï¡¤½Ì¼Ü¤Î¼ïÎब¿¤¤¤Û¤ÉÁí¥Ç¡¼¥¿Î̺︺¤ÎÌ̤Ƕˤá¤ÆÍ­Íø¤Ç¤¢¤ê¡¤WebÄÌ¿®¤òÍøÍѤ·¤¿¥Ê¥Ó¥²¡¼¥·¥ç¥ó¥·¥¹¥Æ¥àÅù¤ËÍ­¸ú¤Ç¤¢¤ë¤È¹Í¤¨¤é¤ì¤ë¡¥ËÜÏÀʸ¤Ç¤Ï¡¤¤½¤Î¥Ç¡¼¥¿¹½Â¤¤òÌÀ¤é¤«¤Ë¤·¤ÆÄó°ÆÊý¼°¤Ë¤Ä¤¤¤Æ¤Þ¤È¤á¤ë¤È¤È¤â¤Ë¡¤Äó°ÆÊý¼°¤òÆüËÜÎóÅç¤Î³¤´ßÀþ¥Ç¡¼¥¿¤ËŬÍѤ·¸½ÍѤΥϡ¼¥É¥¦¥§¥¢´Ä¶­²¼¤Ç¤Îɾ²Á¤ò¹Ô¤¤¡¤Äó°ÆÊý¼°¤ÎÆÃħ¤òÌÀ³Î¤Ë¤¹¤ë¡¥

The authors have studied a method to unify and manage multiple scale vectorized map data using hierarchical structure¡¥The method manages vectorized map data by tree structure¡¤easily extracts only necessary data according to a reduced scale of a map, which should be displayed, and draws it. The features of the proposed method are that it draw vector data more quickly than a method of always drawing all data regardless of the reduced scale¡¤and that the total amount of data is less than that of the method which independent data is prepared beforehand at each reduced scale. Moreover, the proposed method is quite effective in reducing the capacity of HD¡Êdisk storage device¡Ërequired to store all the vector data consiting of a large number of hierarchies, that is¡¤a lot of kinds reduced scales. It is effective to navigation systems etc. which use Web communication. This paper describes the proposed method and its data structure¡¤moreover it clarifies the feature of the proposed method by applying the proposed method to coastline data of the Japan Islands and evaluating the experimental results.

¥­¡¼¥ï¡¼¥É¡§°ì¸µÅª´ÉÍýÊý¼°¡¤¥Ù¥¯¥È¥ë¥Ç¡¼¥¿¡¤³¬Áع½Â¤¡¤ÌÚ¹½Â¤¡¤¹âÅÙƻϩ¸òÄÌ¥·¥¹¥Æ¥à

unified managing method, vector data, hierarchical structure,tree structure, intelligent transport systems¡ÊITS¡Ë

¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 105-118

Æõöʸ¸¥¤Ë¤ª¤±¤ë°ø²Ì´Ø·¸¤ÎÃê½Ð¤ÈÅý¹ç
Extraction and Integration of Causal Relationships
in Patent Documents ÀÐÀî Âç²ð ÀÐÄÍ ±Ñ¹° ±§ÂË Â§É§¡¡Æ£¸¶ ¾ù
Daisuke ISHIKAWA Hidehiro ISHIZUKA
Norihiko UDA and Yuzuru FUJIWARA

Æõöʸ¸¥¤Ë¤Ï¡¤È¯ÌÀ¤Î¼êÃʤȤ½¤Î·ë²Ì¤â¤¿¤é¤µ¤ì¤ë¸ú²Ì¤¬µ­½Ò¤µ¤ì¤Æ¤¤¤ë¡¥¤½¤Î¼êÃʡݸú²Ì¤Î´Ø·¸¤Ï°ø²Ì´Ø·¸¤È¹Í¤¨¤é¤ì¤ë¡¥¤½¤³¤Ç¡¤Á¡°Ý¹©³Ø¤ÎʬÌî¤ÎÆõöʸ¸¥¤«¤éÆÃÄê¤Îʸ·¿¥Ñ¥¿¡¼¥ó¤ÈÍѸì¥ê¥¹¥È¤òÍѤ¤¤Æ°ø²Ì´Ø·¸¤òÃê½Ð¤·¤¿¡¥º£²ó¤Î¼Â¸³¤Ç¤ÏÆä˲½¹çʪ¤È¤½¤ÎÀ­¼Á¤ËÃíÌܤ·¤¿¡¥¤Þ¤¿¡¤¤³¤ì¤é¤Î°ø²Ì´Ø·¸¤ò´ð¤ËÃμ±¤Î¹½Â¤²½¤ò»î¤ß¤¿¡¥

A method is an innovation and its effects are described in a patent document. This "method-caused effect" is a sort of causal relationship. Therefore we tried to extract some causal relationships from patent documents in fiber engineering using phrase-pattern matching and term list. We obtained some causal relationships between compound and its property. We also attempted to structure knowledge extracted from the causal relationships.

¥­¡¼¥ï¡¼¥É¡§Æõöʸ¸¥¡¤°ø²Ì´Ø·¸¡¤Ãê½Ð¡¤Á¡°Ý¹©³Ø¡¤¥Æ¥­¥¹¥È¥Þ¥¤¥Ë¥ó¥°

patent documents¡¤causal relationship¡¤extraction¡¤fiber engineering, text mining

¾ðÊóÃμ±³Ø²ñ»ï, 2004, 14(4), 119-136

Knowledge Discovery by Hopfield Network
¥Û¥Ã¥×¥Õ¥£¡¼¥ë¥É¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤Ë¤è¤ëÄêÀ­¿äÏÀÃμ±È¯¸«
Thanakorn SORNKAEW and Yasuo YAMASHITA
¥½¥ó¥±¥ª ¥¿¥Ê¥³¥ó »³²¼ °Âͺ

In this paper, a new method for inducing symbolic knowledge from empirical data is proposed. This method consists of four steps. Firstly¡¤linguistic variables of fuzzy membership functions are simply defined using an analysis of histograms. Secondly¡¤weights of the Hopfield network are calculated. Thirdly, the states of the Hopfield network are asynchronously updated until these states remain unchanged. In the fourth step, rules are extracted via our proposed algorithm. The experiments in three data sets show good performance.

¡¡ËÜÏÀʸ¤Ç¤Ï¡¤¥Û¥Ã¥×¥Õ¥£¡¼¥ë¥É¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤òÍѤ¤¤Æ·Ð¸³Åª¥Ç¡¼¥¿¤«¤éÄêÀ­¿äÏÀÃ챤òȯ¸«¤¹¤ë¼êË¡¤òÄó°Æ¤¹¤ë.¡¡ËܼêË¡¤Ï¡¤4¤Ä¤Î¥¹¥Æ¥Ã¥×¤«¤éÀ®¤êΩ¤Ä¡¥¤Þ¤º¡¤¥Ò¥¹¥È¥°¥é¥à¤ÎʬÀϤˤè¤ê¡¤¥Õ¥¡¥¸¡¼¥á¥ó¥Ð¡¼¥·¥Ã¥×´Ø¿ô¤Î¸À¸ìŪÊÑ¿ô¤òÄêµÁ¤¹¤ë¡¥¼¡¤Ë¡¤¥Û¥Ã¥×¥Õ¥£¡¼¥ë¥É¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤Î½Å¤ß¤ò·×»»¤¹¤ë¡¥¤½¤·¤Æ¡¤¥Û¥Ã¥×¥Õ¥£¡¼¥ë¥É¥Ë¥å¡¼¥é¥ë¥Í¥Ã¥È¥ï¡¼¥¯¤Î¾õÂ֤ϰÂÄê¤Ë¤Ê¤ë¤Þ¤ÇÈóƱ´üŪ¤ËÊѲ½¤¹¤ë¡¥ºÇ¸å¤Ë¡¤Äó°Æ¤¹¤ëÃê½Ð¥¢¥ë¥´¥ê¥º¥à¤Ë¤è¤ê¡¤ÄêÀ­¿äÏÀÃ챤òÃê½Ð¤¹¤ë¤³¤È¤¬¤Ç¤­¤ë¡¥ËܼêË¡¤ÎÍ­¸úÀ­¤ò3¼ïÎà¤Î¥Ç¡¼¥¿¤òÍѤ¤¤¿¼Â¸³¤Ë¤è¤ê³Îǧ¤·¤¿¡¥

Keywords¡§Hopfield network, Symbolic knowledge, membership function, fuzzy, rule extraction

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