TY - GEN
T1 - ItoCamLife
T2 - 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
AU - Mine, Tsunenori
AU - Mise, Shiro
AU - Nakamura, Hiroyuki
AU - Hiraoki, Takuya
AU - Koga, Shiori
AU - Ando, Takahiro
AU - Hisazumi, Kenji
AU - Nakanishi, Tsuneo
AU - Fukuda, Akira
N1 - Funding Information:
ACKNOWLEDGMENT This work was partially supported by JSPS KAKENHI Grant No. JP15H05708 and the Telecommunications Advancement Foundation.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - People do not always know about everything in the whole area even where they go about their daily life. Visitors to the area still more do not know about the area such as facilities and/or when and where to hold events in the area, means of transport to/from the area, and means of movements in the area if the area is too large for visitors to walk around, and so on. Although the main Web site of a local area such as a region, district, park or an organization usually works as a portal and provides the information above, the information is not always linked to with each other, in particular, on the map of the area except for facility names. Therefore people often feel difficult to find information related to their current or specified positions. Considering these problems, in this paper, we discuss an information sharing and recommendation platform specialized to a local area. The platform provides a variety of information associated with a map of the area, which means the information is linked with each other through the map. As a case study, we present 'ItoCamLife,' which targets Ito Campus of Kyushu University. Ito Campus is one of four campuses in Kyushu University and the largest campus in Japan as one campus. More than 10 thousand people including students, members of faculty and staffs are commuting, and many visitors are also coming there especially when a big event such as university festival or a large scale conference is held. Therefore, Ito Campus needs such a platform of sharing and recommending information. In this paper, we present an overview of ItoCamLife, including its concept and current functions.
AB - People do not always know about everything in the whole area even where they go about their daily life. Visitors to the area still more do not know about the area such as facilities and/or when and where to hold events in the area, means of transport to/from the area, and means of movements in the area if the area is too large for visitors to walk around, and so on. Although the main Web site of a local area such as a region, district, park or an organization usually works as a portal and provides the information above, the information is not always linked to with each other, in particular, on the map of the area except for facility names. Therefore people often feel difficult to find information related to their current or specified positions. Considering these problems, in this paper, we discuss an information sharing and recommendation platform specialized to a local area. The platform provides a variety of information associated with a map of the area, which means the information is linked with each other through the map. As a case study, we present 'ItoCamLife,' which targets Ito Campus of Kyushu University. Ito Campus is one of four campuses in Kyushu University and the largest campus in Japan as one campus. More than 10 thousand people including students, members of faculty and staffs are commuting, and many visitors are also coming there especially when a big event such as university festival or a large scale conference is held. Therefore, Ito Campus needs such a platform of sharing and recommending information. In this paper, we present an overview of ItoCamLife, including its concept and current functions.
KW - Information sharing and recommendation platform
KW - Smart mobility
KW - SNS
KW - SNS
KW - Temporal-spatial information
UR - http://www.scopus.com/inward/record.url?scp=85065215035&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065215035&partnerID=8YFLogxK
U2 - 10.1109/IIAI-AAI.2018.00030
DO - 10.1109/IIAI-AAI.2018.00030
M3 - Conference contribution
AN - SCOPUS:85065215035
T3 - Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
SP - 109
EP - 114
BT - Proceedings - 2018 7th International Congress on Advanced Applied Informatics, IIAI-AAI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 July 2018 through 13 July 2018
ER -