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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Main Authors: Alen Rajšp, Iztok Fister
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Information
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Online Access:https://www.mdpi.com/2078-2489/16/1/30
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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.
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institution Kabale University
issn 2078-2489
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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