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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 TönjesORCiD |
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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, |
Page Number: | 2 |
First Page: | 736 |
Last Page: | 737 |
Faculties: | Fakultät IuI |
DDC classes: | 600 Technik, Medizin, angewandte Wissenschaften |