Event detection applications have gained significant attention with the rise of user-generated spatio-temporal data over the past decade. However, building event detection applications still encounter high cost and effort due to lack of support in existing data management systems. This paper envisions a holistic system approach to support an efficient and easy-to-use system infrastructure for building event detection applications. We outline our vision for representing event detection applications as a set of layered abstractions and discuss potential pathways to realize these abstractions at the system level.
|Original language||English (US)|
|Title of host publication||Proceedings of the 16th International Symposium on Spatial and Temporal Databases, SSTD 2019|
|Publisher||Association for Computing Machinery|
|Number of pages||4|
|State||Published - Aug 19 2019|
|Event||16th International Symposium on Spatial and Temporal Databases, SSTD 2019 - Vienna, Austria|
Duration: Aug 19 2019 → Aug 21 2019
|Name||ACM International Conference Proceeding Series|
|Conference||16th International Symposium on Spatial and Temporal Databases, SSTD 2019|
|Period||8/19/19 → 8/21/19|
Bibliographical noteFunding Information:
?This work is partially supported by the National Science Foundation, USA, under Grants IIS-1525953, CNS-1512877, and SES-1831615, and the Saudi Arabian Cultural Mission, USA.
© 2019 Association for Computing Machinery.