Property Graph Framework for Geographical Routes in Sports Training
Presenting real-world paths in property graphs is a complex challenge of identifying and representing the properties of routes and their environments. These property graphs serve as foundational datasets for generating smart sports training routes, where route features such as terrain, bends, and hi...
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MDPI AG
2025-01-01
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author | Alen Rajšp Iztok Fister |
author_facet | Alen Rajšp Iztok Fister |
author_sort | Alen Rajšp |
collection | DOAJ |
description | Presenting real-world paths in property graphs is a complex challenge of identifying and representing the properties of routes and their environments. These property graphs serve as foundational datasets for generating smart sports training routes, where route features such as terrain, bends, and hills critically influence the route design. This paper outlines a method for identifying key parameters of real-world paths and encoding them into property graphs. The proposed method has significant implications for sports event planning, particularly in designing route-based training that meets specific athletic challenges. The research concludes by presenting a case study in which a property graph that enables cycling route generation was created for the country of Slovenia, and a sample training route was generated. |
format | Article |
id | doaj-art-14eedfc787ce421fbed3436d6382bb3e |
institution | Kabale University |
issn | 2078-2489 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Information |
spelling | doaj-art-14eedfc787ce421fbed3436d6382bb3e2025-01-24T13:35:12ZengMDPI AGInformation2078-24892025-01-011613010.3390/info16010030Property Graph Framework for Geographical Routes in Sports TrainingAlen Rajšp0Iztok Fister1Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, SloveniaFaculty of Electrical Engineering and Computer Science, University of Maribor, Koroška Cesta 46, 2000 Maribor, SloveniaPresenting real-world paths in property graphs is a complex challenge of identifying and representing the properties of routes and their environments. These property graphs serve as foundational datasets for generating smart sports training routes, where route features such as terrain, bends, and hills critically influence the route design. This paper outlines a method for identifying key parameters of real-world paths and encoding them into property graphs. The proposed method has significant implications for sports event planning, particularly in designing route-based training that meets specific athletic challenges. The research concludes by presenting a case study in which a property graph that enables cycling route generation was created for the country of Slovenia, and a sample training route was generated.https://www.mdpi.com/2078-2489/16/1/30property graphgeographical mapssmart sports trainingdata miningdata fusionOpenStreetMap |
spellingShingle | Alen Rajšp Iztok Fister Property Graph Framework for Geographical Routes in Sports Training Information property graph geographical maps smart sports training data mining data fusion OpenStreetMap |
title | Property Graph Framework for Geographical Routes in Sports Training |
title_full | Property Graph Framework for Geographical Routes in Sports Training |
title_fullStr | Property Graph Framework for Geographical Routes in Sports Training |
title_full_unstemmed | Property Graph Framework for Geographical Routes in Sports Training |
title_short | Property Graph Framework for Geographical Routes in Sports Training |
title_sort | property graph framework for geographical routes in sports training |
topic | property graph geographical maps smart sports training data mining data fusion OpenStreetMap |
url | https://www.mdpi.com/2078-2489/16/1/30 |
work_keys_str_mv | AT alenrajsp propertygraphframeworkforgeographicalroutesinsportstraining AT iztokfister propertygraphframeworkforgeographicalroutesinsportstraining |