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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö > Á¤º¸Ã³¸®ÇÐȸ ³í¹®Áö ¼ÒÇÁÆ®¿þ¾î ¹× µ¥ÀÌÅÍ °øÇÐ

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ÇѱÛÁ¦¸ñ(Korean Title) ±¹°¡¿¬±¸½Ã¼³ÀåºñÀÇ À¯»çµµ ÆǴܱâ¹ý¿¡ °üÇÑ ¿¬±¸
¿µ¹®Á¦¸ñ(English Title) A Study on Similarity Calculation Method Between Research Infrastructure
ÀúÀÚ(Author) ±è¿ëÁÖ   ±è¿µÂù   Kim Yong Joo   Kim Young Chan  
¿ø¹®¼ö·Ïó(Citation) VOL 07 NO. 12 PP. 0469 ~ 0476 (2018. 12)
Çѱ۳»¿ë
(Korean Abstract)
¿¬±¸°³¹ß°úÁ¤¿¡¼­ÀÇ Çʼö¿ä¼ÒÀÎ ¿¬±¸ÀåºñÀÇ °øµ¿È°¿ë ¹× È¿À²ÀûÀÎ ±¸ÃàÀ» À§ÇØ Çѱ¹¿¡¼­´Â ±¹°¡¿¹»êÀ¸·Î ±¸ÃàµÈ ÀåºñÁ¤º¸¸¦ ÇʼöÀûÀ¸·Î µî·ÏÇϵµ·Ï ÇÏ°í ÀÖ´Ù. µî·ÏÁ¤º¸ÀÇ ´Ù¾çÇÑ È°¿ë(Áߺ¹¼º °ËÅä, ¼º´É¿¹Ãø, ´ëüÀåºñÃßõ)À» À§ÇØ º» ¿¬±¸¿¡¼­´Â ÇöÀç À¯»çÀåºñ°Ë»ö±â¹ý¿¡ ´ëÇØ ºÐ¼®ÇÏ°í À¯»çµµ »êÃâ ¹æ¹ýÀ» Á¦½ÃÇÏ¿´´Ù. À̸¦ ÅëÇØ ÀÚ¿¬¾î »óÅÂÀÎ ÀåºñÁ¤º¸¿¡¼­ Å°¿öµå¸¦ ÃßÃâÇÏ¿© LSA ±â¹ýÀ» Àû¿ëÇϸé Å°¿öµå°£ÀÇ À¯»çµµ»êÃâ ¹× ÀåºñÁ¤º¸ °£ À¯»çµµ ºÐ¼®ÀÌ °¡´ÉÇÔÀ» È®ÀÎÇÏ¿´À¸¸ç ÇâÈÄ ¿¬±¸ÀåºñºÐ·ùÁ¤º¸¸¦ Á¢¸ñÇÏ¿© Àû¿ëÇÒ °æ¿ì ÀǹÌÀÖ´Â À¯»çµµ »êÃâ ¹× À̸¦ È°¿ëÇÑ ´Ù¾çÇÑ ¼­ºñ½º°¡ °¡´É ÇÒ °ÍÀ¸·Î ¿¹ÃøµÈ´Ù.
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(English Abstract)
In order to jointly utilize research infrastructure and to build efficient construction, which are essential in science and technology research and development process. Although various classification methods have been introduced for efficient utilization of registered information, functions that can be directly utilized such as similar research infrastructure search is not yet been implemented due to limitations of collection information. In this study, we analyzed the similar search technique so far, presented the methodology for the calculation of similarity of research infrastructure, and analyzed the learning result. Study suggested that a technique can be use to extract meaningful keywords from information and analyze the similarity between the research infrastructure.
Å°¿öµå(Keyword) ¿¬±¸Àåºñ   Á¤º¸À¯»çµµ ¾Ë°í¸®Áò   ´Ü¾î¹éÅÍ   Research Infrastructure   Information-Similarity Algorithm   Word Vector   LSA  
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