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In the realm of soccer analytics, the need for efficient and accurate information retrieval is crucial. In this paper, we introduce SoccerGraphRAG, a framework designed to facilitate the retrieval of soccerrelated information through natural language queries. This system leverages knowledge graphs, created from the recently released SoccerNetEchoes dataset which includes transcriptions of soccer game audio commentaries. Soccer-GraphRAG aims to streamline the retrieval, access, and analysis of soccer data, providing insights with precision and contextual relevance. This framework is ideally suited for analyzing player performance, as well as for engaging in question answering (Q&A) and summarizing tasks.

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Soccer-GraphRAG: Applications of GraphRAG in Soccer

  • 会议论文

  • 发表日期：

    2025年

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  • Zahra Sepasdar,
  • Sushant Gautam,
  • Cise Midoglu,
  • Michael A. Riegler,
  • Pål Halvorsen

摘要

In the realm of soccer analytics, the need for efficient and accurate information retrieval is crucial. In this paper, we introduce SoccerGraphRAG, a framework designed to facilitate the retrieval of soccerrelated information through natural language queries. This system leverages knowledge graphs, created from the recently released SoccerNetEchoes dataset which includes transcriptions of soccer game audio commentaries. Soccer-GraphRAG aims to streamline the retrieval, access, and analysis of soccer data, providing insights with precision and contextual relevance. This framework is ideally suited for analyzing player performance, as well as for engaging in question answering (Q&A) and summarizing tasks.