Semantics of spatially-aware windows over streaming moving objects

Patroumpas, K; Sellis, T

dc.contributor.author	Patroumpas, K	en
dc.contributor.author	Sellis, T	en
dc.date.accessioned	2014-03-01T02:44:57Z
dc.date.available	2014-03-01T02:44:57Z
dc.date.issued	2007	en
dc.identifier.issn	15516245	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32045
dc.subject	Data Processing	en
dc.subject	Data Stream	en
dc.subject	Moving Object	en
dc.subject	Nearest Neighbor Search	en
dc.subject	Real Time	en
dc.subject.other	Common operations	en
dc.subject.other	Continuous queries	en
dc.subject.other	Data streaming	en
dc.subject.other	International conferences	en
dc.subject.other	Mobile data management	en
dc.subject.other	Moving objects	en
dc.subject.other	Nearest-neighbor search	en
dc.subject.other	Query Specification	en
dc.subject.other	Real-time responses	en
dc.subject.other	Spatial properties	en
dc.subject.other	Information theory	en
dc.subject.other	Management information systems	en
dc.subject.other	Rivers	en
dc.subject.other	Telecommunication	en
dc.subject.other	Windows	en
dc.title	Semantics of spatially-aware windows over streaming moving objects	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MDM.2007.17	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MDM.2007.17	en
heal.identifier.secondary	4417124	en
heal.publicationDate	2007	en
heal.abstract	Several window constructs are usually specified in continuous queries over data streams as a means of limiting the amount of data processed each time and thus providing real-time responses. Current research has mostly focused on tackling the temporal volatility of the stream, overlooking other inherent features of incoming items. In this paper, we argue that novel window types, other than strictly temporal, can also prove adequate in providing finite portions of multidimensional streams. We systematically examine the particular case of spatiotemporal streams generated from moving point objects and we introduce a comprehensive classification of window variants useful in expressing the most common operations, such as range or nearest-neighbor search. Our investigation also demonstrates that composite windows, combining temporal and spatial properties, can effectively capture the evolving characteristics of trajectories and assist significantly in query specification. ©2007 IEEE.	en
heal.journalName	Proceedings - IEEE International Conference on Mobile Data Management	en
dc.identifier.doi	10.1109/MDM.2007.17	en
dc.identifier.spage	52	en
dc.identifier.epage	59	en