A New Method for Evaluation of Positioning Accuracy in the Semantic Space
Summary :
User context and user location in particular play an important role in location-based services (LBS). The location can be determined by various positioning methods. These are typically evaluated with average positioning error or percentile values, which are not the most suitable metrics for evaluation of how a positioning method functions in the semantic space. Therefore, we propose a new method for evaluation of positioning accuracy in the semantic space. We focus on two types of semantic user locations that are widely available in urban areas: the street address and the categories of the surrounding points of interest (POIs). We demonstrate its use on ten different positioning methods: a standalone satellite navigation device, GPS module on a smartphone, two versions of Foursquare positioning service, Google positioning service, a positioning service of the local mobile operator, and four other possible variants of mobile operator-based positioning methods. The evaluation suggests that approach with the street addresses is more promising approach due to either sparse or unevenly distributed POIs. Furthermore, some of the positioning methods that are less accurate in Euclidean space, such as a combination of the GPS data with the mobile operator-based method that relies on the propagation models, performed comparably well in the semantic space as the methods that are using more accurate technologies, such as Google and Foursquare.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E98-B No.9 pp.1906-1913
- Publication Date
- 2015/09/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E98.B.1906
- Type of Manuscript
- PAPER
- Category
- Sensing
Authors
Luka VIDMAR
Telekom Slovenije, d.d.
Marko PESKO
Telekom Slovenije, d.d.
Mitja ŠTULAR
Telekom Slovenije, d.d.
Blaž PETERNEL
Telekom Slovenije, d.d.
Andrej KOS
University of Ljubljana
Matevž POGAČNIK
University of Ljubljana
Keyword
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Luka VIDMAR, Marko PESKO, Mitja ŠTULAR, Blaž PETERNEL, Andrej KOS, Matevž POGAČNIK, "A New Method for Evaluation of Positioning Accuracy in the Semantic Space" in IEICE TRANSACTIONS on Communications,
vol. E98-B, no. 9, pp. 1906-1913, September 2015, doi: 10.1587/transcom.E98.B.1906.
Abstract: User context and user location in particular play an important role in location-based services (LBS). The location can be determined by various positioning methods. These are typically evaluated with average positioning error or percentile values, which are not the most suitable metrics for evaluation of how a positioning method functions in the semantic space. Therefore, we propose a new method for evaluation of positioning accuracy in the semantic space. We focus on two types of semantic user locations that are widely available in urban areas: the street address and the categories of the surrounding points of interest (POIs). We demonstrate its use on ten different positioning methods: a standalone satellite navigation device, GPS module on a smartphone, two versions of Foursquare positioning service, Google positioning service, a positioning service of the local mobile operator, and four other possible variants of mobile operator-based positioning methods. The evaluation suggests that approach with the street addresses is more promising approach due to either sparse or unevenly distributed POIs. Furthermore, some of the positioning methods that are less accurate in Euclidean space, such as a combination of the GPS data with the mobile operator-based method that relies on the propagation models, performed comparably well in the semantic space as the methods that are using more accurate technologies, such as Google and Foursquare.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.1906/_p
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@ARTICLE{e98-b_9_1906,
author={Luka VIDMAR, Marko PESKO, Mitja ŠTULAR, Blaž PETERNEL, Andrej KOS, Matevž POGAČNIK, },
journal={IEICE TRANSACTIONS on Communications},
title={A New Method for Evaluation of Positioning Accuracy in the Semantic Space},
year={2015},
volume={E98-B},
number={9},
pages={1906-1913},
abstract={User context and user location in particular play an important role in location-based services (LBS). The location can be determined by various positioning methods. These are typically evaluated with average positioning error or percentile values, which are not the most suitable metrics for evaluation of how a positioning method functions in the semantic space. Therefore, we propose a new method for evaluation of positioning accuracy in the semantic space. We focus on two types of semantic user locations that are widely available in urban areas: the street address and the categories of the surrounding points of interest (POIs). We demonstrate its use on ten different positioning methods: a standalone satellite navigation device, GPS module on a smartphone, two versions of Foursquare positioning service, Google positioning service, a positioning service of the local mobile operator, and four other possible variants of mobile operator-based positioning methods. The evaluation suggests that approach with the street addresses is more promising approach due to either sparse or unevenly distributed POIs. Furthermore, some of the positioning methods that are less accurate in Euclidean space, such as a combination of the GPS data with the mobile operator-based method that relies on the propagation models, performed comparably well in the semantic space as the methods that are using more accurate technologies, such as Google and Foursquare.},
keywords={},
doi={10.1587/transcom.E98.B.1906},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - A New Method for Evaluation of Positioning Accuracy in the Semantic Space
T2 - IEICE TRANSACTIONS on Communications
SP - 1906
EP - 1913
AU - Luka VIDMAR
AU - Marko PESKO
AU - Mitja ŠTULAR
AU - Blaž PETERNEL
AU - Andrej KOS
AU - Matevž POGAČNIK
PY - 2015
DO - 10.1587/transcom.E98.B.1906
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2015
AB - User context and user location in particular play an important role in location-based services (LBS). The location can be determined by various positioning methods. These are typically evaluated with average positioning error or percentile values, which are not the most suitable metrics for evaluation of how a positioning method functions in the semantic space. Therefore, we propose a new method for evaluation of positioning accuracy in the semantic space. We focus on two types of semantic user locations that are widely available in urban areas: the street address and the categories of the surrounding points of interest (POIs). We demonstrate its use on ten different positioning methods: a standalone satellite navigation device, GPS module on a smartphone, two versions of Foursquare positioning service, Google positioning service, a positioning service of the local mobile operator, and four other possible variants of mobile operator-based positioning methods. The evaluation suggests that approach with the street addresses is more promising approach due to either sparse or unevenly distributed POIs. Furthermore, some of the positioning methods that are less accurate in Euclidean space, such as a combination of the GPS data with the mobile operator-based method that relies on the propagation models, performed comparably well in the semantic space as the methods that are using more accurate technologies, such as Google and Foursquare.
ER -
English
