标题： 宇宙1.0：新兴技术前沿的多维地图 显示英文标题

标题： Cosmos 1.0: a multidimensional map of the emerging technology frontier

摘要： 本文描述了一种新颖的方法来绘制新兴技术的全貌，利用各种包含丰富多样和广泛当代知识的源数据创建了一个新的数据集和多个指数，从而为这些技术提供了新的见解。《宇宙1.0》数据集是一个包含23,544项技术（ET23k）的综合集合，并按层次模型构建。每项技术被分类到三个元聚类（ET3）和七个主题聚类（ET7），并通过100维嵌入向量增强。在宇宙中，我们手动验证了100项新兴技术，称为ET100。该数据集通过专门开发的指数得到丰富，以评估新兴技术的格局，包括技术意识指数、通用性指数、深度技术指数和科技年龄指数。数据集整合了来自维基百科以及第三方来源（如Crunchbase、谷歌图书、OpenAlex和谷歌学术）的广泛元数据，用于验证所构建指数的相关性和准确性。此外，我们训练了一个分类器来识别它们是否是“技术”或与技术相关的“术语”。 显示英文摘要

摘要： This paper describes a novel methodology to map the universe of emerging technologies, utilising various source data that contain a rich diversity and breadth of contemporary knowledge to create a new dataset and multiple indices that provide new insights into these technologies. The Cosmos 1.0 dataset is a comprehensive collection of 23,544 technologies (ET23k) structured into a hierarchical model. Each technology is categorised into three meta clusters (ET3) and seven theme clusters (ET7) enhanced by 100-dimensional embedding vectors. Within the cosmos, we manually verify 100 emerging technologies called the ET100. This dataset is enriched with additional indices specifically developed to assess the landscape of emerging technologies, including the Technology Awareness Index, Generality Index, Deeptech, and Age of Tech Index. The dataset incorporates extensive metadata sourced from Wikipedia and linked data from third-party sources such as Crunchbase, Google Books, OpenAlex and Google Scholar, which are used to validate the relevance and accuracy of the constructed indices. Moreover, we trained a classifier to identify whether they are developed "technology" or technology-related "terms".