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所在平台: Udemy |
课程主页: https://www.udemy.com/course/knowledge-graph-for-beginners/
课程评论：没有评论
课程名称：初学者知识图谱 概述：知识图谱作为一个热门且复杂的主题，学习者往往难以获得合适的学习材料。本课程将为你的知识图谱学习之旅提供坚实的起点，帮助你掌握图谱技术、语义学及本体论。知识图谱可被定义为通过明确关系连接的事实网络，能够推断出新的知识，并可能包含用于组织网络实体的基础架构（即本体论）。 支撑知识图谱的技术堆栈为许多用例提供了可能性，帮助打破数据孤岛，丰富数据和元数据表示，提升数据架构的语义层次，以及推动下一代人工智能和分析。各行业如制造、电信、IT、大众传媒、金融服务及制药等，都在利用知识图谱技术实现其数据战略与数字化转型。 知识图谱是现代数据架构的重要推动力，尤其与工业4.0、数字双胞胎、智能决策支持生态系统、可解释AI等紧密相关。本课程面向对信息建模、数据架构、知识表示和分类感兴趣的以数据为中心的专业人士，并且没有知识图谱技术的先前接触。课程将帮助学员熟悉该领域的术语，深入理解知识图谱的重要性、底层架构及行业应用，识别应用“图思维”的机会。 无论你是想更新技能、或是首次接触这一领域，本课程都将为你打下扎实的基础，确保你在知识图谱、语义学和本体论方面游刃有余。
Until now, it has been fairly difficult for learners to readily access curated materials on the topic of knowledge graph, largely due to the fairly patchy and technical landscape that we need to navigate when trying to understand the subject area. This course is a game changer, bringing to life the starting point for your journey to becoming an expert in knowledge graph technology, semantics and ontologies. A knowledge graph can be defined as a network of facts connected via explicitly defined relationships, from which new knowledge can be inferred, and a knowledge graph may have an underlying schema (a.k.a ontology) for organising the entities within the network.There is a technology stack that underpins knowledge graphs, which unlocks countless use cases focused on tearing down data silos, richly representing data & metadata, augmenting data architecture with semantics (i.e meaning in computation form), and driving next-level AI and analytics.Organisations across various sectors like Manufacturing, Telecommunication, IT, Mass Media, Financial Services and Pharmaceutical are applying knowledge graph technology to realise their data strategies and digital transformation. Knowledge graphs are a powerful enabler for modern data architectures integral to Industry 4.0, Digital Twins, intelligent decision support ecosystems, explainable AI, and many more.This course is aimed at leaners, such as data-focused professionals, with an interest in the latest trends in information modelling, data architecture, knowledge representation and classification, and with no prior exposure to knowledge graph technologies. It's your guaranteed stepping stone to a solid foundation, ensured to make you become comfortable with jargon used in the field of knowledge graph, ontologies and semantics. You will also be able to articulate the importance of knowledge graphs, their underlying architecture and industry applications, as well as identify opportunities for applying 'graph thinking'.
