DOMINO: databases fOr MovINg Objects tracking
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
A data model and data structures for moving objects databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
Moving Objects Information Management: The Database Challenge
NGITS '02 Proceedings of the 5th International Workshop on Next Generation Information Technologies and Systems
SECONDO: An Extensible DBMS Platform for Research Prototyping and Teaching
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Communications of the ACM - Two decades of the language-action perspective
IEEE Pervasive Computing
HERMES: aggregative LBS via a trajectory DB engine
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Design of vehicle information management system for effective retrieving of vehicle location
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Hi-index | 0.00 |
The analysis of movement in the geographic space requires the development of systems and data models supporting storage and querying functions useful for the analysis of how movement evolves and how it is constrained by events or obstacles that emerge in space. In the past, the design of information systems has been often based on application driven approaches and restricted to specific types of positioning technologies, leading to a proliferation of a wide range of data models, database models and functionalities. To overcome this proliferation, this paper proposes a spatio-temporal information system that is independent of the application domain and aiming to abstract the positioning technology used for gathering data. Here we describe the initial design of the basic infrastructure of such a system, integrating a data model and its fundamental functionalities for the collection, storage, retrieval and visualization of positioning data. The results achieved so far are promising to demonstrate how the system is able to store positioning data with different formats, and in applying its functionalities to the loaded data.