Á¤º¸°úÇÐȸ ³í¹®Áö C : ÄÄÇ»ÆÃÀÇ ½ÇÁ¦
ÇѱÛÁ¦¸ñ(Korean Title) |
µ¥ÀÌÅÍ º»Áú ±â¹ÝÀÇ µ¥ÀÌÅÍ ºÐ·ù ¹æ¹ý·Ð |
¿µ¹®Á¦¸ñ(English Title) |
A Data Taxonomy Methodology based on Their Origin |
ÀúÀÚ(Author) |
Ãֹ̿µ
¹®Ã¢ÁÖ
¹éµÎ±Ç
±ÇÁÖÈì
ÀÌ¿µ¹«
Mi-Young Choi
Chang-Joo Moon
Doo-Kwon Baik
Ju-Hum Kwon
Young-Moo Lee
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 16 NO. 02 PP. 0163 ~ 0176 (2010. 02) |
Çѱ۳»¿ë (Korean Abstract) |
Á¶Á÷ÀÇ µ¥ÀÌÅ͸¦ È¿°úÀûÀ¸·Î °ü¸®ÇÏ´Â ´ëÇ¥Àû ¹æ¹ýÀº ±âÁ¸ µ¥ÀÌÅÍÀÇ °øÀ¯¿Í Àç»ç¿ëÀ» ÃËÁøÇÏ¿© µ¥ÀÌÅÍÀÇ Áߺ¹ »ý»êÀ» ¹æÁöÇÏ´Â °ÍÀÌ´Ù. µ¥ÀÌÅÍ °øÀ¯¿Í Àç»ç¿ëÀÇ ÃËÁøÀ» À§Çؼ ±âÁ¸ µ¥ÀÌÅÍÀÇ Ã¼°èÀû ±¸Á¶È¿Í È¿À²ÀûÀÎ °Ë»öÀÌ Áö¿øµÇ¾î¾ß ÇÑ´Ù. ÀÌ·¯ÇÑ Á¡ÀÌ °í·ÁµÇÁö ¾ÊÀº Á¶Á÷°£ ´ÜÀýµÈ µ¥ÀÌÅÍ °³¹ßÀº µ¥ÀÌÅÍ Áߺ¹À» ¾ç»êÇÏ°í µ¥ÀÌÅÍÀÇ Ç°ÁúÀ» ÀúÇϽÃŲ´Ù. µ¥ÀÌÅÍ ºÐ·ù´Â °ü¸®ÇÏ´Â µ¥ÀÌÅÍ¿¡ ´ëÇÑ Ã¼°èÀû Á¤¸®·Î ¿øÇÏ´Â µ¥ÀÌÅÍ ¿ä¼ÒÀÇ ºü¸¥ °Ë»öÀ» °¡´ÉÇÏ°Ô ÇÑ´Ù.
º» ³í¹®¿¡¼´Â µ¥ÀÌÅÍ °øÀ¯, Àç»ç¿ë°ú ÅëÇÕÀ» ±Ø´ëÈÇÏ°í MDR°ú ½Ã¸àƽ À¥¿¡¼ È¿°úÀûÀ¸·Î »ç¿ëµÉ ¼ö ÀÖ´Â º»Áú±â¹Ý µ¥ÀÌÅÍ ºÐ·ù ¹æ¹ý·ÐÀ» Á¦¾ÈÇÑ´Ù. º»Áú±â¹Ý µ¥ÀÌÅÍ ºÐ·ù ¹æ¹ý·ÐÀº µ¥ÀÌÅÍ º»ÁúÀ» ±â¹ÝÀ¸·Î µ¥ÀÌÅÍ ºÐ·ù ±¸Á¶¸¦ ±¸¼ºÇÏ¿© ¾÷¹«ºÐ·ù¿¡ µ¶¸³ÀûÀÎ µ¥ÀÌÅÍ ºÐ·ù°¡ °¡´ÉÇÏ´Ù. ¶ÇÇÑ Á¦½ÃµÈ µ¥ÀÌÅÍ ºÐ·ù ±¸Á¶¸¦ Áö¿øÇÏ´Â µ¥ÀÌÅÍ ºÐ·ù ÀýÂ÷¸¦ Á¦½ÃÇÏ¿© ´Ù¾çÇÑ µ¥ÀÌÅÍ ¿ä¼ÒµéÀ» µ¥ÀÌÅÍ ºÐ·ù ±¸Á¶¿¡ µû¶ó ¹èÄ¡ÇÏ´Â ¹æ¹ýÀ» º¸ÀδÙ. »ç·Ê¿¬±¸¿¡¼´Â Á¦¾ÈµÈ µ¥ÀÌÅÍ ºÐ·ù ±¸Á¶¿Í µ¥ÀÌÅÍ ºÐ·ùÀýÂ÷°¡ È¿°úÀûÀ¸·Î ½ÇÁ¦¿¡ Àû¿ë µÉ ¼ö ÀÖÀ½À» º¸¿´´Ù. |
¿µ¹®³»¿ë (English Abstract) |
The representative method to efficiently manage the organization¡¯s data is to avoid data duplication through the promotion of sharing and reusing existing data. The systematic structuring of existing data and efficient searching should be supported in order to promote the sharing and reusing of data. Without regard for these points, the data for the system development would be duplicated, which would deteriorate the quality of the data. Data taxonomy provides some methods that can enable the needed data elements to be searched quickly with a systematic order of managing data.
This paper proposes that the Origin data taxonomy method can best maximize data sharing, reusing, and consolidation, and it can be used for Meta Data Registry (MDR) and Semantic Web efficiently. The Origin data taxonomy method constructs the data taxonomy structure built upon the intrinsic nature of data, so it can classify the data with independence from business classification. Also, it shows a deployment method for data elements used in various areas according to the Origin data taxonomy structure with a data taxonomic procedure that supports the proposed taxonomy. Based on this case study, the proposed data taxonomy and taxonomic procedure can be applied to real world data efficiently. |
Å°¿öµå(Keyword) |
µ¥ÀÌÅÍ ºÐ·ù
µ¥ÀÌÅÍ ¾ÆÅ°ÅØó
ºñÁî´Ï½º ºÐ·ù
µ¥ÀÌÅÍ °øÀ¯
µ¥ÀÌÅÍ ÅëÇÕ
Data Taxonomy
Data Architecture
Business Classification
Data Sharing
Data Consolidation/Integration
|
ÆÄÀÏ÷ºÎ |
PDF ´Ù¿î·Îµå
|