TY - GEN
T1 - Cyber-physical directory
T2 - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
AU - Lamothe, Jean Loup
AU - She, James
AU - Cheung, Ming
PY - 2013
Y1 - 2013
N2 - Information about people, places and events are examples of social data. These social data, widely spread on the Internet, are also displayed by directories directly in the physical world, enhancing interactivity and guiding people at a specific location. However, they are usually large, and reading these directories is time-consuming because they are not personalized, with information unrelated to a person's needs. Moreover these social data are static and may be irrelevant for many readers. This paper presents a new cyber-physical system: the cyber-physical directory, which provides a user with a customised and dynamic visualization of social data. An algorithm, based on the similarity between people and social data, finds which data are relevant to a specific user and displays them by using tag cloud techniques. The system is successfully tested with a real dataset from Foursquare, and an implementation is presented.
AB - Information about people, places and events are examples of social data. These social data, widely spread on the Internet, are also displayed by directories directly in the physical world, enhancing interactivity and guiding people at a specific location. However, they are usually large, and reading these directories is time-consuming because they are not personalized, with information unrelated to a person's needs. Moreover these social data are static and may be irrelevant for many readers. This paper presents a new cyber-physical system: the cyber-physical directory, which provides a user with a customised and dynamic visualization of social data. An algorithm, based on the similarity between people and social data, finds which data are relevant to a specific user and displays them by using tag cloud techniques. The system is successfully tested with a real dataset from Foursquare, and an implementation is presented.
UR - http://www.scopus.com/inward/record.url?scp=84893457424&partnerID=8YFLogxK
U2 - 10.1109/GreenCom-iThings-CPSCom.2013.376
DO - 10.1109/GreenCom-iThings-CPSCom.2013.376
M3 - Conference contribution
AN - SCOPUS:84893457424
SN - 9780769550466
T3 - Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
SP - 2007
EP - 2012
BT - Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Y2 - 20 August 2013 through 23 August 2013
ER -