Semantic location

2000 ◽  
Vol 4 (4) ◽  
pp. 213-216 ◽  
Author(s):  
Salil Pradhan
Keyword(s):  
Semantic Location

scholarly journals Development and implementation of a dynamic and 4D GIS based on semantic location model

2019 ◽  
Vol 22 (3) ◽  
pp. 193-213 ◽  
Author(s):  
Xinyan Zhu ◽  
Tao Hu ◽  
Xinyue Ye ◽  
Wei Guo ◽  
Liang Huang ◽  
...  
Keyword(s):  
Location Model ◽  
Semantic Location

Research on KDT-DBSCAN-based Personal Semantic Location Acquisition

2020 ◽  
Author(s):  
Rong Nie ◽  
Zixuan Yao ◽  
Dong Wei ◽  
Kaizhang Hou ◽  
Jishuai Lin
Keyword(s):  
Semantic Location

scholarly journals Implementing Hierarchical Indoor Semantic Location Identity Classification: A Case Study for COVID-19 Proximity Tracking in the Philippines

2021 ◽  
Author(s):  
Irvin Kean Paulus Paderes ◽  
Ligayah Leah Figueroa ◽  
Rommel Feria
Keyword(s):  
Indoor Localization ◽  
Hierarchical Classification ◽  
The Philippines ◽  
Activity Monitoring ◽  
Model Complexity ◽  
Classification Framework ◽  
Localization Theory ◽  
The Hierarchical Structure ◽  
Meaningful Context ◽  
Semantic Location

Efforts toward COVID-19 proximity tracking in closed environments focus on efficient proximity identification by combining it with indoor localization theory for location activity monitoring and proximity detection. But these are met with concerns based on existing considerations of the localization theory like costly infrastructure, multi-story support, and over-reliance on sensor networks. Semantic location identities (SLI), or location data stored with additional meaningful context, has become a feasible localizing factor especially in locations that have multiple spaces with different usage from each other. There is also a novel method of classification framework, called hierarchical classification, that leverages the hierarchical structure of the labels to reduce model complexity. The research aims to provide a solution to proximity analysis and location activity monitoring considering guidelines released in a Philippine context that addresses concerns of indoor localization and handling of geospatial data by implementing a hybrid hierarchical indoor semantic location identity classification that focuses on observable events within context-unique locations.

A formalization for semantic location granules

2013 ◽  
Vol 27 (6) ◽  
pp. 1090-1108 ◽  
Author(s):  
Jorge Bernad ◽  
Carlos Bobed ◽  
Eduardo Mena ◽  
Sergio Ilarri
Keyword(s):  
Semantic Location
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