In this paper we propose a data model for representing moving objects in database systems. It is called the Moving Objects Spatio-Temporal (MOST) data model. We also propose Futur...
A. Prasad Sistla, Ouri Wolfson, Sam Chamberlain, S...
Real-scale Semantic Web applications, such as Knowledge Portals and E-Marketplaces, require the managementof large volumes of metadata, i.e., information describing the available ...
Gregory Karvounarakis, Sofia Alexaki, Vassilis Chr...
In this paper we propose a data model for representing moving objects with uncertain positions in database systems. It is called the Moving Objects Spatio-Temporal (MOST) data mod...
A. Prasad Sistla, Ouri Wolfson, Sam Chamberlain, S...
Querying live media streams is a challenging problem that becomes an essential requirement in a growing number of applications. We address the problem of evaluating continuous quer...
Forecasting future events based on historic data is useful in many domains like system management, adaptive query processing, environmental monitoring, and financial planning. We...