奥运科技知识库

奥运科技知识库主要分析了历届奥运会采用不同类别新技术数量的演变，借助聚焦爬虫技术，从海量的网络资源里抓取奥运科技数据；利用深度学习的抽象表达及特征融合能力，提取不同结构数据的分布式特征，构建统一特征表示。数据集中主要包括600余项原始数据，200余项技术，采用了三种技术分类方式：技术板块（办赛、参赛、观赛、安全、绿色综合示范）、技术领域（信息、新材料、生物、自动化、能源、激光、航天、海洋、其他技术）、技术类别（运动能力提升、场馆与比赛、赛事保障、社会环境保障、传播技术）。The Olympic Science and Technology Knowledge Base primarily analyzes the evolution of the quantity of new technologies adopted across different categories in all previous Olympic Games. It uses focused crawler technology to collect Olympic science and technology data from massive online resources. Leveraging the abstract expression and feature fusion capabilities of deep learning, it extracts distributed features from data with diverse structures and constructs a unified feature representation. The dataset mainly includes over 600 original data entries and more than 200 technologies, and adopts three technical classification methods: Technology Dimensions (Event Hosting, Athlete Participation, Spectator Experience, Safety, and Green Comprehensive Demonstration), Technology Fields (Information Technology, New Materials, Biology, Automation, Energy, Laser, Aerospace, Marine, and Other Technologies), and Technology Categories (Sports Performance Enhancement, Venues and Competitions, Event Support, Social and Environmental Protection, and Communication Technology).

搜集汇总

背景与挑战

背景概述

奥运科技知识库是一个分析历届奥运会新技术数量演变的数据集，包含600余项原始数据和200余项技术，采用三种技术分类方式（技术板块、技术领域、技术类别）。数据集通过聚焦爬虫技术和深度学习构建统一特征表示，数据量为89.64KB，包含3个文件。