Abstract
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) |
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| Title of host publication | Proceedings of the 16th International Symposium on Spatial and Temporal Databases, SSTD 2019 |
| Publisher | Association for Computing Machinery |
| Pages | 210-213 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450362801 |
| DOIs | |
| 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 |
Publication series
| Name | ACM International Conference Proceeding Series |
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Conference
| Conference | 16th International Symposium on Spatial and Temporal Databases, SSTD 2019 |
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| Country/Territory | Austria |
| City | Vienna |
| Period | 8/19/19 → 8/21/19 |
Bibliographical note
Funding 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.
Publisher Copyright:
© 2019 Association for Computing Machinery.