Abstract
The research field of moving objects has been quite active in the past 20 years. The recording of position data becomes easy and huge amounts of mobile data are collected. Moving objects databases represent time-dependent objects and support queries with spatial and temporal constraints. In this paper we provide the vision of a multi-model and intelligent moving objects database. The goal is to enhance the data management of moving objects by providing extensive data models for different applications and fusing artificial intelligence techniques. Toward this goal, we propose how to develop corresponding modules and integrate them into the system to achieve the next-generation moving objects database.
Original language | English |
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Title of host publication | Proceedings of the 16th International Symposium on Spatial and Temporal Databases, SSTD 2019 |
Editors | Walid G. Aref, Michela Bertolotto, Panagiotis Bouros, Christian S. Jensen, Ahmed Mahmood, Kjetil Nørvåg, Dimitris Sacharidis, Mohamed Sarwat |
Number of pages | 4 |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Publication date | 19 Aug 2019 |
Pages | 222-225 |
ISBN (Print) | 978-1-4503-6280-1 |
ISBN (Electronic) | 9781450362801 |
DOIs | |
Publication status | Published - 19 Aug 2019 |
Externally published | Yes |
Event | 16th International Symposium on Spatial and Temporal Databases - Vienna, Austria Duration: 19 Aug 2019 → 21 Aug 2019 http://sstd2019.org/ |
Conference
Conference | 16th International Symposium on Spatial and Temporal Databases |
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Country/Territory | Austria |
City | Vienna |
Period | 19/08/2019 → 21/08/2019 |
Internet address |