A unified semantic sports concepts classification as a key device for multidimensional sports analysis

Panagiotis-Marios Filippidis, Charalampos A. Dimoulas, Charalampos Bratsas, A. Veglis
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引用次数: 1

Abstract

Sports analysis tends to be more advanced and sophisticated in the last years, focusing on very detailed aspects of the game in order to result groundbreaking insights. New terms and expressions are shown up, corresponding to novel concepts and elements of sports. The diversity of terms used from various competitions and the media leads to a complexity for automated methods that aim to exploit textual sports sources for their analysis. This work searches, extracts and collects all the distinct terms that are used by major basketball competitions websites, via NLP techniques to create a generic classification of concepts related to basketball actions. The generated competitions vocabularies, as well as the generic vocabulary are transformed into SKOS hierarchical classification schemes and then linked to each other through their similar terms that correspond to the same actions. In this way, the generic basketball actions classification includes all the knowledge from the leagues vocabularies, the concepts and the synonyms from each competition in a hierarchical structure, forming a key device of comparability and aggregation. The use of the unified sports concepts classification could benefit the automation of multidimensional sports analysis through various competitions, years and media resources.
统一的语义体育概念分类是多维体育分析的关键手段
在过去的几年里,体育分析趋向于更加先进和复杂,专注于比赛的非常详细的方面,以获得突破性的见解。新的术语和表达出现,与新的体育概念和元素相对应。各种比赛和媒体中使用的术语的多样性导致了自动化方法的复杂性,这些方法旨在利用文本体育资源进行分析。这项工作通过NLP技术搜索、提取和收集主要篮球比赛网站使用的所有不同术语,以创建与篮球动作相关的概念的通用分类。生成的竞赛词汇表和通用词汇表被转换为SKOS分层分类方案,然后通过对应于相同动作的相似术语相互链接。这样,篮球动作通用分类就把各联赛的词汇、各比赛的概念和同义词知识都包含在一个层次结构中,形成了一个比较和聚合的关键装置。使用统一的体育概念分类,有利于通过各种赛事、年份和媒体资源实现多维体育分析的自动化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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