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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

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ÇѱÛÁ¦¸ñ(Korean Title) »çȸ¸ÁÀ» ÀÌ¿ëÇÑ XMDR ±â¹ÝÀÇ Àü¹®°¡ Ãßõ ½Ã½ºÅÛ
¿µ¹®Á¦¸ñ(English Title) Expert Recommendation System based on XMDR using Social Network
ÀúÀÚ(Author) ÁÖÈ¿½Ä   Ȳġ°ï   ½ÅÈ¿¿µ   Á¤°èµ¿   ÃÖ¿µ±Ù   Hyo-sik Joo   Chi-gon Hwang   Hyo-young Shin   Gye-dong Jung   Young-keun Choi  
¿ø¹®¼ö·Ïó(Citation) VOL 15 NO. 03 PP. 0691 ~ 0699 (2011. 03)
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(Korean Abstract)
ÃÖ±Ù »çȸ¸Á ±â¹ÝÀÇ °Ë»ö ¼­ºñ½ºµéÀ» Áß½ÉÀ¸·Î ´Ù¾çÇÑ ¹æ¹ýµéÀÌ Á¦½ÃµÇ°í ÀÖ´Ù. ±âÁ¸ÀÇ Ãßõ½Ã½ºÅÛµéÀº ƯÁ¤ ¿µ¿ªÀÇ Àü¹®°¡¸¦ °Ë»öÇÒ ¼ö ÀÖÁö¸¸ °Ë»öÇÏ°íÀÚ ÇÏ´Â Àü¹®°¡¿¡ ´ëÇÑ ÇÁ·ÎÆÄÀÏ°ú Àü¹®°¡¸¦ Æò°¡ÇÏ´Â Ç׸ñÀÌ ÇÑ ½Ã½ºÅÛ¿¡ ÀÖ¾î¾ß¸¸ ÇÑ´Ù. º» ³í¹®¿¡¼­´Â Áö½Äº£À̽º¿Í XMDRÀ» ÀÌ¿ëÇÏ¿© ¼­·Î ´Ù¸¥ ½Ã½ºÅÛ¿¡ Á¸ÀçÇÏ´Â Àü¹®°¡ ÇÁ·ÎÆÄÀÏ°ú Àü¹®°¡¸¦ Æò°¡ÇÏ´Â Ç׸ñ ¼öÁýÀ» ÀÚµ¿È­ÇÒ ¼ö ÀÖ´Ù. ¶ÇÇÑ ´Ù¾çÇÑ ¸®¼Ò½ºµéÀ» ÀÌ¿ëÇÏ¿© »çȸ¸ÁÀ» µ¿ÀûÀ¸·Î ±¸ÃàÇÏ¿© ¿©·¯ Àü¹®°¡¸¦ ÃßõÇÒ ¼ö ÀÖ´Â ½Ã½ºÅÛÀ» ±¸¼ºÇÏ°íÀÚÇÑ´Ù. ±×·¯³ª ´Ù¾çÇÑ ¸®¼Ò½ºµéÀº Áö¿ªÀûÀ¸·Î ºÐ»êµÇ¾î ÀÖ°í ÀÌÁ¾ÀÇ µ¥ÀÌÅÍ ¼Ò½ºµé·Î ±¸¼ºµÇ¾îÀֱ⠶§¹®¿¡ »ç¿ëÀÚ ÀÇ»ç°áÁ¤À» À§ÇÑ Á¤º¸¸¦ ¾ò´Â °ÍÀº ¾î·Æ´Ù. ÀÌ·¯ÇÑ ¹®Á¦¸¦ È¿À²ÀûÀ¸·Î ÇØ°áÇϱâ À§Çؼ­ »ç¿ëÀÚ¿¡°Ô ´ÜÀÏ ÀÎÅÍÆäÀ̽º¸¦ Á¦°øÇÏ°í ÀÌÁ¾½Ã½ºÅÛµé °£¿¡ ±¸ÃàµÈ ¸®¼Ò½ºµé¿¡´Â °¢°¢ µ¶¸³¼º°ú Åõ¸í¼ºÀ» Á¦°øÇÒ Çʿ伺ÀÌ ÀÖ´Ù. µû¶ó¼­ º» ³í¹®¿¡¼­´Â ºÐ»êµÇ¾îÀÖ´Â Àü¹®°¡ ÇÁ·ÎÆÄÀÏ ÃßÃâÀ» À§ÇØ XMDR°ú Áö½Äº£À̽º¸¦ ÀÌ¿ëÇÏ°í ÀÌ·¯ÇÑ Áö½Äº£À̽º¸¦ »çȸ¸Á°ú ¿¬°èÇÑ Àü¹®°¡ Ãßõ ½Ã½ºÅÛÀ» ¼³°èÇÑ´Ù.
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(English Abstract)
Recently, diverse approaches retrieval services based on social network are suggested. Although existing recommendation systems can retrieve experts of specific fields, profiles and evaluations about experts that users want to be recommended are in a system. The proposed expert recommendation system can automatize collection of evaluation to evaluate experts and experts' profiles in separate systems by using the Knowledge Base and XMDR. We also attempt to construct system which can recommend a number of experts by dynamically constructing Social Network by using diverse resources distributed ·ÎÄÃly and composed of heterogeneous data sources. To resolve these problems efficiently, there is a need to provide constructed resources between heterogeneous systems with transparency and independence and provide users with a singular interface. Therefore, the proposed system in this paper uses Knowledge Base and XMDR for extracting distributed experts' profiles and designs expert recommendation system connecting Knowledge Base with Social Network.
Å°¿öµå(Keyword) »çȸ¸Á   XMDR(eXtended Metadata Registry)   Ãßõ ½Ã½ºÅÛ   Áö½Ä º£À̽º   Social Network   XMDR(eXtended Metadata Registry)   Recommedation System   Knowledge Base  
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