TY - GEN
T1 - An effective retrieval method with semantic networks for mobile life-log of smartphones
AU - Xu, Hu
AU - Cho, Sung Bae
PY - 2013
Y1 - 2013
N2 - Smartphone is now playing an important role in our daily life. The various sensors and multiple features of smartphones can collect abundant information about people's life experience, which is called mobile life-log. Life-logs are useful for people to recall past meaningful events and remind of meaningful experiences. However, as the amount of life-log becomes vast, it requires an efficient way to organize and store such vast information. Semantic networks, which are used to implement human retrieval system, can help people to effectively organize and retrieve life-logs collected from smartphones. In this paper, we propose a method of mobile life-log search based on semantic relation in semantic networks. By using semantic relation, we reduce the unnecessary intermediate results so as to reduce the usage of computer memory and retrieval time. To demonstrate the usefulness of the proposed method, we constructed mobile life-log semantic networks and conducted experiment on it. As a result, the proposed method is useful for life-log retrieval in the semantic networks.
AB - Smartphone is now playing an important role in our daily life. The various sensors and multiple features of smartphones can collect abundant information about people's life experience, which is called mobile life-log. Life-logs are useful for people to recall past meaningful events and remind of meaningful experiences. However, as the amount of life-log becomes vast, it requires an efficient way to organize and store such vast information. Semantic networks, which are used to implement human retrieval system, can help people to effectively organize and retrieve life-logs collected from smartphones. In this paper, we propose a method of mobile life-log search based on semantic relation in semantic networks. By using semantic relation, we reduce the unnecessary intermediate results so as to reduce the usage of computer memory and retrieval time. To demonstrate the usefulness of the proposed method, we constructed mobile life-log semantic networks and conducted experiment on it. As a result, the proposed method is useful for life-log retrieval in the semantic networks.
UR - http://www.scopus.com/inward/record.url?scp=84893357259&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893357259&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-42042-9_93
DO - 10.1007/978-3-642-42042-9_93
M3 - Conference contribution
AN - SCOPUS:84893357259
SN - 9783642420412
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 753
EP - 760
BT - Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings
T2 - 20th International Conference on Neural Information Processing, ICONIP 2013
Y2 - 3 November 2013 through 7 November 2013
ER -