TY - GEN
T1 - An adaptive scenario based reasoning system cross smart houses
AU - Cheng, Sheng-Tzong
AU - Wang, Chi Hsuan
AU - Chen, Ching Chung
PY - 2009/12/1
Y1 - 2009/12/1
N2 - The intelligent smart home provides various services offering and amount of knowledge reasoning. However, programmers need to consider about constraints including scenarios in different houses, scenarios for different users, and even different resources. That is, infrastructures deployment and scenarios design are truly time consuming. Actually, it is more reasonable to make a home adapt to family members' behaviors than a user adapt to limitation functionalities of a home. Therefore, development of an efficient reasoning system for smart home is widely discussed in recent research. In this paper, we propose a smart home reasoning system called ASBR system. The system learns user's preferences by adaptive history scenarios and offers a convenient way to rebuild reasoned knowledge in other smart homes. We first introduce that ontology based context information in smart home can be extracted and reasoned as a set of scenarios. In addition, system can derive personalize habits and store into OWL files. We then present scenario reconstruction method under computation and resources restrictions. Finally, we design an experiment in a realistic smart home and propose some scenarios to discuss work result.
AB - The intelligent smart home provides various services offering and amount of knowledge reasoning. However, programmers need to consider about constraints including scenarios in different houses, scenarios for different users, and even different resources. That is, infrastructures deployment and scenarios design are truly time consuming. Actually, it is more reasonable to make a home adapt to family members' behaviors than a user adapt to limitation functionalities of a home. Therefore, development of an efficient reasoning system for smart home is widely discussed in recent research. In this paper, we propose a smart home reasoning system called ASBR system. The system learns user's preferences by adaptive history scenarios and offers a convenient way to rebuild reasoned knowledge in other smart homes. We first introduce that ontology based context information in smart home can be extracted and reasoned as a set of scenarios. In addition, system can derive personalize habits and store into OWL files. We then present scenario reconstruction method under computation and resources restrictions. Finally, we design an experiment in a realistic smart home and propose some scenarios to discuss work result.
UR - http://www.scopus.com/inward/record.url?scp=74549215626&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=74549215626&partnerID=8YFLogxK
U2 - 10.1109/ISCIT.2009.5341188
DO - 10.1109/ISCIT.2009.5341188
M3 - Conference contribution
AN - SCOPUS:74549215626
SN - 9781424445219
T3 - 2009 9th International Symposium on Communications and Information Technology, ISCIT 2009
SP - 549
EP - 554
BT - 2009 9th International Symposium on Communications and Information Technology, ISCIT 2009
T2 - 2009 9th International Symposium on Communications and Information Technology, ISCIT 2009
Y2 - 28 September 2009 through 30 September 2009
ER -