TY - GEN
T1 - EventShop
T2 - WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web
AU - Pongpaichet, Siripen
AU - Singh, Vivek K.
AU - Gao, Mingyan
AU - Jain, Ramesh
PY - 2013
Y1 - 2013
N2 - Web Observatories must address fundamental societal challenges using enormous volumes of data being created due to the significant progress in technology. The proliferation of heterogeneous data streams generated by social media, sensor networks, internet of things, and digitalization of transactions in all aspect of humans' life presents an opportunity to establish a new era of networks called Social Life Networks (SLN). The main goal of SLN is to connect People to Resources effectively, efficiently, and promptly in given Situations. Towards this goal, we present a computing framework, called EventShop, to recognize evolving situations from massive web streams in realtime. These web streams can be fundamentally considered as spatio-temporal-thematic streams and can be combined using a set of generic spatio-temporal analysis operators to recognize evolving situations. Based on the detected situations, the relevant information and alerts can be provided to both individuals and organizations. Several examples from the real world problems have been developed to test the efficacy of EventShop framework.
AB - Web Observatories must address fundamental societal challenges using enormous volumes of data being created due to the significant progress in technology. The proliferation of heterogeneous data streams generated by social media, sensor networks, internet of things, and digitalization of transactions in all aspect of humans' life presents an opportunity to establish a new era of networks called Social Life Networks (SLN). The main goal of SLN is to connect People to Resources effectively, efficiently, and promptly in given Situations. Towards this goal, we present a computing framework, called EventShop, to recognize evolving situations from massive web streams in realtime. These web streams can be fundamentally considered as spatio-temporal-thematic streams and can be combined using a set of generic spatio-temporal analysis operators to recognize evolving situations. Based on the detected situations, the relevant information and alerts can be provided to both individuals and organizations. Several examples from the real world problems have been developed to test the efficacy of EventShop framework.
KW - Events processing framework
KW - Eventshop
KW - Situation recognition
KW - Social life networks
KW - Web data streams
KW - Web observatory
UR - https://www.scopus.com/pages/publications/84893080745
M3 - Conference contribution
AN - SCOPUS:84893080745
SN - 9781450320382
T3 - WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web
SP - 1359
EP - 1367
BT - WWW 2013 Companion - Proceedings of the 22nd International Conference on World Wide Web
PB - Association for Computing Machinery
Y2 - 13 May 2013 through 17 May 2013
ER -