In the context of smart cities, the deploy­ment of mul­tiple sen­sors pro­vides access to nume­rous data streams in real time. The open publi­ca­tion of sen­sor data brings inno­va­tion oppor­tu­ni­ties by com­bi­ning the usual bene­fits of open data with those of real time updates. Indeed, open data ensures trans­pa­ren­cy and, in prin­ciple, allow any­bo­dy to deve­lop ser­vices that were never envi­sio­ned by data pro­vi­ders. Real time updates allow one to consi­der the deve­lop­ment of new ser­vices beyond the tra­di­tio­nal use of open data, e.g., for log­ging evo­lu­tion and conduc­ting a pos­te­rio­ri ana­ly­sis. We can the­re­fore contem­plate the crea­tion of an eco­sys­tem of smart open urban ser­vices. While publi­shing sen­sor data via an open data plat­form, such as Grand Lyon’s “Smart Data” plat­form, is a first step towards our goal, it is now neces­sa­ry to pro­pose solu­tions to faci­li­tate uses and usages of real time open data. As a mat­ter of fact, these data are prac­ti­cal­ly dif­fi­cult to unders­tand, find and even­tual­ly exploit. This is even truer when data is coming from raw stream of sen­sor data because constraints on pro­ces­sing and com­mu­ni­ca­tion capa­bi­li­ties impose mini­mi­sing trans­mit­ted infor­ma­tion.


Consequently and in order to enable the deve­lop­ment of a smart open city ser­vice eco­sys­tem, we want to pro­vide (1) tech­no­lo­gi­cal solu­tions to help leve­rage open sen­sor data for city appli­ca­tion deve­lo­pers, and (2) gui­dance to the actors of the open sen­sor data envi­ron­ment by ana­ly­sing the sta­ke­hol­der stra­te­gies, defi­ning usage sce­na­rios and ter­mi­no­lo­gies. To this aim, we com­bine a social ana­ly­sis of actor expec­ta­tions, requi­re­ments and prac­tices, with a tech­no­lo­gi­cal and theo­re­ti­cal exper­tise in online data and know­ledge pro­ces­sing and engi­nee­ring. The social com­ponent of our pro­po­sal will ensure a bet­ter unders­tan­ding of expec­ta­tions and needs of various cate­go­ries of real time open data users. The tech­no­lo­gi­cal com­ponent is based on exis­ting Semantic Web tech­no­lo­gies as well as stream pro­ces­sing tech­niques. This will expec­ted­ly result in enri­ching and publi­shing stream data to an open plat­form, taking into account the new para­digm of lin­ked data, stream data and rea­so­ning. This major shift will be achie­ved by buil­ding new onto­lo­gies rela­ted to smart cities when neces­sa­ry as well as a for­ma­lism for que­rying and com­bi­ning streams in such a context. Additionally, by com­bing our work in the social and tech­no­lo­gi­cal domains, we will define search and brow­sing capa­bi­li­ties that we will imple­ment accor­ding to the iden­ti­fied expec­ta­tions and needs. Finally, when those tools will be effec­ti­ve­ly deve­lo­ped, we will show their uti­li­ty by pro­vi­ding a demo appli­ca­tion that uses them and fur­ther stu­dy the usage sce­na­rios. Our plan­ned appli­ca­tion will offer an intel­li­gent trans­por­ta­tion sys­tem that helps vehicle dri­vers to bet­ter find par­king spots, with pos­sible tes­ting in the city of Lyon.