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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸°úÇÐȸ Çмú´ëȸ > 2015³â µ¿°èÇмú¹ßǥȸ

2015³â µ¿°èÇмú¹ßǥȸ

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ÀÌÁúÀûÀÎ ¼¾¼­³×Æ®¿öÅ© ȯ°æ¿¡¼­ ¼ö¸é°ü¸®¼­ºñ½º °íµµÈ­¸¦ À§ÇÑ ½Ã¸Çƽ Á¢±Ù¹æ¹ý
¿µ¹®Á¦¸ñ(English Title) A Semantic-based Approach to Enhance Sleep Management Service in Heterogeneous Sensor Network
ÀúÀÚ(Author) ±Ç¼øÇö   ÀÌÇü±Ô   À¯ÀçÇР  Soonhyun Kwon   Hyungkyu Lee   Jaehak Yu  
¿ø¹®¼ö·Ïó(Citation) VOL 42 NO. 02 PP. 0422 ~ 0424 (2015. 12)
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(Korean Abstract)
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(English Abstract)
In this paper, we proposed an enhanced sleep management service using semantic web technologies (ontology modeling, semantic annotation, ontology-based context awareness, and LOD. An existing sensor-based service such as sleep management service uses many different types of sensors. Also, due to the sensor representation¡¯sheterogeneity, it is difficult find context information through collaborating between sensors. Using semantic web technologies, we address this problem by modelling the formal domain knowledge about a sleep management and processing a semantic annotation for associating sensor data with common knowledge (time, Geo, weather) defining the LOD, and deriving the context knowledge about sleep diagnosis, quality, estimation, prediction, and improvement factor.
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