The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 19 of 32
Back to Result List

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.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
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,
Volume:2015
Pagenumber:2
First Page:736
Last Page:737
Faculties:Fakultät IuI
DDC classes:600 Technik, Medizin, angewandte Wissenschaften