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Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
»óȲÀÎÁö ½Ã½ºÅÛ¿¡¼ ´ë¿ë·®ÀÇ µ¥ÀÌÅÍ Ã³¸®°á°ú¸¦ ÄÁÅؽºÆ® Á¤º¸·Î Á¦°øÇϱâ À§ÇÑ ¹æ¹ý |
¿µ¹®Á¦¸ñ(English Title) |
A Method to Provide Context from Massive Data Processing in Context-Aware System |
ÀúÀÚ(Author) |
¹ÚÀ¯»ó
ÃÖÁ¾¼±
ÃÖÀ翵
Yoo Sang Park
Jong Sun Choi
Jae Young Choi
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¿ø¹®¼ö·Ïó(Citation) |
VOL 08 NO. 04 PP. 0145 ~ 0152 (2019. 04) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
Unlike a single value from a sensor device, a massive data set has characteristics for various processing aspects; input data may be formed in a different format, the size of input data varies, and the processing time of analyzing input data is not predictable. Therefore, context aware systems may contain complex modules, and these modules can be implemented and used in different ways. In order to solve these problems, we propose a method to handle context information from the result of analyzing massive data. The proposed method considers analysis work as a different type of abstracting context and suggests the way of representing context information. In experiment, we demonstrate how the context processing engine works properly in a couple of steps with healthcare services.
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Å°¿öµå(Keyword) |
»óȲÀÎÁö ½Ã½ºÅÛ
ÄÁÅؽºÆ® Ãß»óÈ
¿ÂÅç·ÎÁö
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Context Aware System
Context Abstraction
Ontology
Massive Data Processing
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