Can Semantic Methods Enhance Team Sports Tactics? A Methodology for Football with Broader Applications
By: Alessio Di Rubbo, Mattia Neri, Remo Pareschi, Marco Pedroni, Roberto Valtancoli, Paolino Zica
Published: 2026-01-26
View on arXiv →#cs.AI#Sports Analytics#Semantic Web#Ontology#Football#Knowledge Graphs#Data Science#Artificial IntelligenceSports AnalyticsSports BroadcastingCoaching SoftwareGambling & Betting
Abstract
This research explores how semantic methods can improve tactical analysis in team sports, specifically football. It presents a methodology that uses AI to derive deeper insights into game strategies, offering potential for enhanced coaching, player development, and real-time decision support in sports.