Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
TMDR ±â¹ÝÀÇ ½Ç½Ã°£ ÅëÇÕ °Ë»öÀ» À§ÇÑ ºÐ»êÁúÀÇ º¯È¯ ±â¹ý¿¡ ´ëÇÑ ¿¬±¸ |
¿µ¹®Á¦¸ñ(English Title) |
A Study on Distribution Query Conversion Method for Real-time Integrating Retrieval based on TMDR |
ÀúÀÚ(Author) |
Ȳġ°ï
½ÅÈ¿¿µ
Á¤°èµ¿
ÃÖ¿µ±Ù
Chi-gon Hwang
Hyo-young Shin
Kye-dong Jung
Young-keun Choi
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¿ø¹®¼ö·Ïó(Citation) |
VOL 14 NO. 07 PP. 1701 ~ 1707 (2010. 07) |
Çѱ۳»¿ë (Korean Abstract) |
º» ¿¬±¸´Â ºÐ»êµÈ ÀÌÁ¾ Á¤º¸½Ã½ºÅÛ »çÀÌÀÇ ÀǹÌÀû »óÈ£¿î¿ë¼ºÀ» Á¦°øÇÔÀ¸·Î½á ´Ù¾çÇÑ ÇüÅÂÀÇ µ¥ÀÌÅ͸¦ ½Ç½Ã°£À¸·Î ÅëÇÕÇÏ¿© °Ë»öÇÒ ¼ö ÀÖ´Â ½Ã½ºÅÛ È¯°æÀ» ±¸ÇöÇϴµ¥ ÀÖ´Ù. ÀǹÌÀû »óÈ£¿î¿ë¼ºÀº ¿ÂÅç·ÎÁöÀÇ ÁýÇÕüÀÎ TMDR(Topicmaps Metadata Registry)À» Á¦°øÇÔÀ¸·Î½á °¡´ÉÇÏ´Ù. TMDRÀº MDR(MetaData Registry)°ú ÅäÇȸÊÀ» °áÇÕÇÏ¿© µ¥ÀÌÅͺ£À̽º¿¡ ÀúÀåÇÑ °ÍÀ¸·Î, ºÐ»ê Äõ¸® ÀÛ¼º°ú È¿À²ÀûÀ¸·Î Áö½ÄÀ» Á¦°øÇÒ ¼ö ÀÖ´Ù. MDRÀº ºÐ»êµÈ µ¥ÀÌÅÍ °ü¸®¸¦ À§ÇÑ ¸ÞŸµ¥ÀÌÅÍ °ü¸® ±â¹ýÀ̸ç, ÅäÇȸÊÀº Áö½Ä µ¥ÀÌÅÍÀÇ Á¢±ÙÀ» À§ÇÑ °èÃþ¼º°ú ¿¬°ü¼ºÀ» °í·ÁÇÑ ¿ÂÅç·ÎÁö Ç¥Çö ±â¹ýÀÌ´Ù. ¿ì¸®´Â ¿ÂÅç·ÎÁöÀÇ ÇÑ ÇüÅÂÀÎ TMDRÀ» Á¦¾ÈÇÏ°í, ÀÌ´Â µ¥ÀÌÅÍ¿Í ½ºÅ°¸¶ ·¹º§¿¡¼ ÀǹÌÀû Ãæµ¹À» ŽÁöÇÏ°í ÇØ°áÇÒ ¼ö ÀÖ´Ù. º» ½Ã½ºÅÛÀº ÀÌÁ¾ÀÇ Á¤º¸ ¼Ò½ºµéÀ» ÅëÇÕ Á¢±ÙÇϱâ À§ÇÑ Äõ¸® ÇÁ·Î¼¼½Ì ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. ÀÌ´Â ±âÁ¸ÀÇ °Ë»ö°ú ´Þ¸® ÁÖÁ¦¸¦ Áß½ÉÀ¸·Î ÇÑ ¿¬°ü°ü°è¸¦ Á¦°øÇÔÀ¸·Î½á È¿À²ÀûÀÓ °Ë»ö°ú Ãß·ÐÀÌ °¡´ÉÇÏ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
This study is intended for implementing the system environment that can help integrate and retrieve various types of data in real-time by providing semantic interoperability among distributed heterogeneous information systems. The semantic interoperability is made possible by providing a TMDR(Topicmaps Metadata Registry), a set of ontologies. TMDR, which has been made by combining MDR(MetaData Registry) and TopicMaps and storing them in the database, is able to generate distributed query and provide efficient knowledge. MDR is a metadata management technique for distributed data management. TopicMaps is an ontology representation technique that takes into consideration the hierarchy and association for accessing knowledge data. We have created TMDR, a kind of ontology, that is fit for any system and able to detect and resolve semantic conflicts on the level of data and schema. With this system we propose a query-processing technique to integrate and access heterogeneous information sources. Unlike existing retrieval methods this makes possible efficient retrieval and reasoning by providing association focusing on subjects.
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Å°¿öµå(Keyword) |
MDR
ÅäÇȸÊ
¿ÂÅç·ÎÁö
ÀÌÁú¼º
Äõ¸® º¯È¯
MDR(Metadata Registry)
TopicMaps
Ontology
Heterogeneity
Query conversion
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