TY - GEN
T1 - Spatiotemporal crowdsourcing behavior
T2 - Conference on Technologies and Applications of Artificial Intelligence, TAAI 2015
AU - Chung, Tzu Yuan
AU - Chuang, Kun Ta
AU - Hsu, Cheng Mao
AU - Ku, Wei Shinn
PY - 2016/2/12
Y1 - 2016/2/12
N2 - We in this paper explore the user-editing behavior for the crowdsourcing-based OpenStreetMap service. OpenStreetMap, which is an open-sourced web-based map service, have been recognized as the indispensable means in disaster rescue and recovery. Self-motivated contributors may cooperate and share important geographic information to support many location-based applications in want of instant responses. As compared to commercial-based map services such as Google Maps, OpenStreetMap creates many new research potentials due to its open-sourced nature. However, the user characteristics of OpenStreetMap is not well discussed such far. In this paper, we study the issue Do contributors behave similarly in different lengths of time intervals? and How contributors behave on the emergent cases such as disaster events?. Surprisingly, we explore the clear power-law phenomenons in most observations. We will demonstrate the new discovery and discuss the help for promising applications.
AB - We in this paper explore the user-editing behavior for the crowdsourcing-based OpenStreetMap service. OpenStreetMap, which is an open-sourced web-based map service, have been recognized as the indispensable means in disaster rescue and recovery. Self-motivated contributors may cooperate and share important geographic information to support many location-based applications in want of instant responses. As compared to commercial-based map services such as Google Maps, OpenStreetMap creates many new research potentials due to its open-sourced nature. However, the user characteristics of OpenStreetMap is not well discussed such far. In this paper, we study the issue Do contributors behave similarly in different lengths of time intervals? and How contributors behave on the emergent cases such as disaster events?. Surprisingly, we explore the clear power-law phenomenons in most observations. We will demonstrate the new discovery and discuss the help for promising applications.
UR - http://www.scopus.com/inward/record.url?scp=84964247818&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964247818&partnerID=8YFLogxK
U2 - 10.1109/TAAI.2015.7407072
DO - 10.1109/TAAI.2015.7407072
M3 - Conference contribution
AN - SCOPUS:84964247818
T3 - TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
SP - 373
EP - 380
BT - TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 November 2015 through 22 November 2015
ER -