TY - GEN
T1 - Security based semantic context awareness system for M2M ubiquitous healthcare service
AU - Choi, Yunjeong
AU - Doh, Inshil
AU - Park, Seung Soo
AU - Chae, Ki Joon
N1 - Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (201201945).
PY - 2013
Y1 - 2013
N2 - The data and information from heterogeneous embedded devices lead to security and communication problems in M2M environment. Even under the situation where the low-level information causes interoperability problems, these devices should be able to communicate with each other in safe, efficient and right manner without the help of server or human intervention. In this paper, we propose a security based context aware U-healthcare system based on user authentication and data aggregation. Our system can support medical decision-making and inferences using Knowledge Machine (KM), which is a mature knowledge representation language. We design and implement frame-based ontology and rules for semantic reasoning using LISP+KM combination. We especially describe the context query, and then show the progress made towards proper and reasonable inference and prediction. In experiments, we showed the feasibility of our proposed system by adding intentional abnormal/informal situation data.
AB - The data and information from heterogeneous embedded devices lead to security and communication problems in M2M environment. Even under the situation where the low-level information causes interoperability problems, these devices should be able to communicate with each other in safe, efficient and right manner without the help of server or human intervention. In this paper, we propose a security based context aware U-healthcare system based on user authentication and data aggregation. Our system can support medical decision-making and inferences using Knowledge Machine (KM), which is a mature knowledge representation language. We design and implement frame-based ontology and rules for semantic reasoning using LISP+KM combination. We especially describe the context query, and then show the progress made towards proper and reasonable inference and prediction. In experiments, we showed the feasibility of our proposed system by adding intentional abnormal/informal situation data.
KW - Authentication
KW - Context reasoning and inference
KW - Knowledge representation
KW - M2M communication
KW - Security
KW - U-healthcare system
UR - http://www.scopus.com/inward/record.url?scp=84870841200&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-5857-5_20
DO - 10.1007/978-94-007-5857-5_20
M3 - Conference contribution
AN - SCOPUS:84870841200
SN - 9789400758568
T3 - Lecture Notes in Electrical Engineering
SP - 187
EP - 196
BT - Ubiquitous Information Technologies and Applications, CUTE 2012
T2 - 7th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2012
Y2 - 20 December 2012 through 22 December 2012
ER -