Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
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ÇѱÛÁ¦¸ñ(Korean Title) |
À§Å°¹é°ú ÅÛÇø´ ³×Æ®¿öÅ©¸¦ ÀÌ¿ëÇÑ COVID-19 ¹üÀ¯Çà Á¤º¸ ¼öÁý |
¿µ¹®Á¦¸ñ(English Title) |
Information Collection of COVID-19 Pandemic Using Wikipedia Template Network |
ÀúÀÚ(Author) |
È«ÀÎÈ£
Diego Sáez-Trumper
Meeyoung Cha
±è´Ü¿ì
ÀÌ´Ù¹Î
¸íÀçÇö
Á¤Ã¢¿í
À±ÁøÇõ
Á¤¿ì¼º
Â÷¹Ì¿µ
Danu Kim
Damin Lee
Jaehyeon Myung
Changwook Jung
Inho Hong
Diego Sáez-Trumper
Jinhyuk Yun
Woo-Sung Jung
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¿ø¹®¼ö·Ïó(Citation) |
VOL 49 NO. 05 PP. 0347 ~ 0353 (2022. 05) |
Çѱ۳»¿ë (Korean Abstract) |
COVID-19 ¹üÀ¯ÇàÀ¸·Î ÀÎÇÑ »çȸÀû ÇÇÇظ¦ ÁÙÀ̱â À§ÇØ Á¤È®ÇÑ Á¤º¸ÀÇ Á¢±ÙÀº ÇʼöÀûÀÌ´Ù. À§Å°¹é°ú´Â Á¢±Ù¼ºÀÌ ³ôÀº ÀÎÅÍ³Ý ¹é°ú»çÀüÀ¸·Î, »ç¿ëÀÚµéÀÌ Á÷Á¢ ÆíÁýÀ» ÇÒ ¼ö ÀÖ¾î COVID-19¿Í °°ÀÌ ÇöÀç ÁøÇà ÁßÀÎ »ç°Ç¿¡ ´ëÇÑ Á¤º¸°¡ ºü¸£°Ô °»½ÅµÈ´Ù. ±×·¯³ª ±âÁ¸ÀÇ À§Å°¹é°ú Á¤º¸ °Ë»ö ¹æ¹ýÀ¸·Î´Â ¹®¼ °£ÀÇ °ü°è¸¦ Æ÷ÇÔÇÑ Á¤º¸¸¦ ¼öÁýÇϱ⠾î·Á¿î ÇÑ°è°¡ ÀÖ´Ù. À§Å°¹é°úÀÇ ÅÛÇø´ Çü½ÄÀº ³ôÀº ¿¬°ü¼ºÀ» °¡Áö´Â ¹®¼¿¡ ¼±º°ÀûÀ¸·Î Àû¿ëµÇ´Â ¸µÅ©·Î Á¤º¸ÀÇ ±¸Á¶¸¦ Àß ¹Ý¿µÇÑ´Ù. ÀÌ ¿¬±¸¿¡¼´Â ÅÛÇø´À» È°¿ëÇÏ¿© 10°³ ¾ð¾î À§Å°¹é°ú ³» COVID-19ÀÇ Á¤º¸¸¦ ¼öÁýÇÏ°í ³×Æ®¿öÅ© ±¸Á¶·Î À籸¼ºÇÏ¿´´Ù. ÃÑ 130,662°³ÀÇ ³ëµå¿Í 202,258°³ÀÇ ¿§Áö·Î ±¸¼ºµÈ 10°³ÀÇ ³×Æ®¿öÅ© Áß »ç¿ëÀÚ ¼ö°¡ ¸¹Àº ¾ð¾î°¡ Å©±â¿Í ±íÀÌ°¡ Å« ÅÛÇø´ ³×Æ®¿öÅ©¸¦ °¡Á³À¸¸ç, 3È© À̳»ÀÇ ¿¬°á ±¸Á¶ ³»¿¡ COVID-19¿Í ¿¬°ü¼ºÀÌ ³ôÀº ¹®¼°¡ Á¸ÀçÇÔÀ» È®ÀÎÇÒ ¼ö ÀÖ¾ú´Ù. ÀÌ ¿¬±¸´Â ¿©·¯ ¾ð¾î¿¡ Àû¿ë °¡´ÉÇÑ »õ·Î¿î Á¤º¸ °Ë»ö ¹æ¹ýÀ» Á¦¾ÈÇÔÀ¸·Î½á ƯÁ¤ ÁÖÁ¦¿¡ ´ëÇÑ ¹®¼ÀÇ ±¸Ãà¿¡ ±â¿©ÇÑ´Ù. |
¿µ¹®³»¿ë (English Abstract) |
Access to accurate information is essential to reduce the social damage caused by the Coronavirus Disease 2019 (COVID-19) pandemic. Information about ongoing events, such as COVID-19, is quickly updated on Wikipedia, an accessible internet encyclopedia that allows users to edit it themselves. However, the existing Wikipedia information retrieval method has a limitation in collecting information, including relationships between documents. The template format of Wikipedia reflects the structure of information as a link that is selectively applied to documents with high relevance. This study collected information on COVID-19 in 10 languages on Wikipedia using a template and reorganized it into networks. Among the 10 networks with 130,662 nodes and 202,258 edges, languages with a large number of active users had a template network with a large size and depth, and documents highly related to COVID-19 existed within a 3-hop connection structure. This research proposed a new information retrieval method applicable to multiple languages and contributes to the construction of document lists related to specific topics. |
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