TY - GEN
T1 - Using intentions and plans of mobile activities to guide geospatial web service composition
AU - Yu, Bo
AU - Cai, Guoray
PY - 2010
Y1 - 2010
N2 - Mobile applications are increasingly taking advantages of the diverse geospatial web services to meet the information needs of their users. However, matching available web services to user's information needs is not a trivial task, as there are many contextual factors that may influence the fitness of use. In addition, mobile activities can be highly dynamic and interleaving, which demand certain level of context-adaption for web service matching policies. Previous work on context-based service matching and composition tends to focus on environmental and functional contexts that can be either sensed directly or defined a prior, and they assume relatively stable user activities. In this paper, we describe a method for representing and reasoning the intentional structures of mobile activities and use it to contextualize mobile map services. Our context model treats a user's mobile activity as an evolving collaborative plan situated in a set of physical and mental factors. The model explicitly reasons on the intentional structure of the mobile activity to determine the appropriate service matching policy on the fly. The feasibility and benefit of using this model is demonstrated through the implementation of a prototype system, MyTour - a mobile city tour guide application.
AB - Mobile applications are increasingly taking advantages of the diverse geospatial web services to meet the information needs of their users. However, matching available web services to user's information needs is not a trivial task, as there are many contextual factors that may influence the fitness of use. In addition, mobile activities can be highly dynamic and interleaving, which demand certain level of context-adaption for web service matching policies. Previous work on context-based service matching and composition tends to focus on environmental and functional contexts that can be either sensed directly or defined a prior, and they assume relatively stable user activities. In this paper, we describe a method for representing and reasoning the intentional structures of mobile activities and use it to contextualize mobile map services. Our context model treats a user's mobile activity as an evolving collaborative plan situated in a set of physical and mental factors. The model explicitly reasons on the intentional structure of the mobile activity to determine the appropriate service matching policy on the fly. The feasibility and benefit of using this model is demonstrated through the implementation of a prototype system, MyTour - a mobile city tour guide application.
UR - http://www.scopus.com/inward/record.url?scp=79952367397&partnerID=8YFLogxK
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U2 - 10.1109/APSCC.2010.65
DO - 10.1109/APSCC.2010.65
M3 - Conference contribution
AN - SCOPUS:79952367397
SN - 9780769543055
T3 - Proceedings - 2010 IEEE Asia-Pacific Services Computing Conference, APSCC 2010
SP - 141
EP - 148
BT - Proceedings - 2010 IEEE Asia-Pacific Services Computing Conference, APSCC 2010
T2 - 2010 IEEE Asia-Pacific Services Computing Conference, APSCC 2010
Y2 - 6 December 2010 through 10 December 2010
ER -