Knowledge-based Spatial Reasoning for IoT-Enabled Smart City Applications
- For efficient analysis of large smart city data sets in (real) time a knowledge-based approach is suggested, con- straining iteratively the search space while increasing accuracy by more complex computation. Results are shown for searching the distance to the nearest object, e.g., parking space.
| Author: | Daniel Kümper, Marten Fischer, Ralf Tönjes |
|---|---|
| Title (English): | Knowledge-based Spatial Reasoning for IoT-Enabled Smart City Applications |
| URN: | urn:nbn:de:bsz:959-opus-7813 |
| URL: | https://ieeexplore.ieee.org/document/7396583/ |
| ISBN: | 978-1-5090-0214-6 |
| Parent Title (English): | 2015 IEEE International Conference on Data Science and Data Intensive Systems, I-Things, Sydney, NSW, Australia |
| Publisher: | IEEE |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2015 |
| Release Date: | 2018/05/29 |
| Tag: | spatial resoning, distance algorithm, IoT, |
| Pagenumber: | 2 |
| First Page: | 736 |
| Last Page: | 737 |
| Faculties: | Fakultät IuI |
| DDC classes: | 600 Technik, Medizin, angewandte Wissenschaften |