2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS) (2015)
Dec. 11, 2015 to Dec. 13, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSDIS.2015.53
For efficient analysis of large smart city data sets in (real) time a knowledge-based approach is suggested, constraining 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.
Euclidean distance, Hospitals, Sensors, Cities and towns, Cognition, Roads, Smart cities
R. Toenjes, D. Kuemper and M. Fischer, "Knowledge-Based Spatial Reasoning for IoT-Enabled Smart City Applications," 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS), Sydney, Australia, 2015, pp. 736-737.