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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.

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Metadaten
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