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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-knowledge-modelling/
课程评论：没有评论
课程名称：实用知识建模：本体开发101 课程概述：您是否曾想过如何以最有效的方式捕获和表达知识，以便与他人分享？您是否对知识如何被拼凑以便于人类理解和人工智能（AI）感兴趣？我们都会在某些时候面临希望能够更快、更有效地捕捉和表示知识的情况，从而使其对人类和计算机都能理解。知识建模（技术上讲是本体建模）是关于捕获和表达知识的工具和技术。知识模型（也称为本体）基本上是一个提供共享某个主题意义的基础的表示。 知识建模有许多用途，从语义数据结构到增强数据产品、自然语言处理、高保真控制词汇和分类法、企业架构中的参考模型以及其他众多领域。此外，随着生成式AI和为大型语言模型（LLM）提供准确问答能力的需求，本体在图形检索增强生成（RAG）中成为了焦点。 在本课程中，您将从实践的角度学习如何进行知识建模，这意味着除了获得知识建模的背景知识，您还需要动手实践！我们将探索建立知识模型的不同方法，包括图形技术和正式的计算机辅助技术。 本课程适合那些重视知识共享的人，旨在将知识真正转化为支持知识管理、系统互操作性、智能信息架构、最佳实践知识捕捉及更多其他领域的资产。
Ever wondered how you could capture and represent knowledge to share it with someone else, using the most efficient way possible? Are you interested in learning how knowledge can be pieced together for human interpretation and Artificial Intelligence (AI)?Chances are we've probably all at some point been faced with situations where we wished there was a quicker, more effective, way of capturing and representing knowledge so that it makes sense to human beings and computers. Knowledge modelling (or technically speaking, ontology modelling) is about the tools and techniques for capturing and representing knowledge. A knowledge model (a.k.a. ontology) is, basically, a representation that provides a basis for sharing meaning about some subject matter.There are a great many uses of knowledge modelling from semantic data fabric to augmented data products, natural language processing, high-fidelity controlled vocabularies & thesauri, reference models used in enterprise architecture, engineering and heaps more. Moreover with Generative AI and the need for grounding Large Language Models (LLMs) for accurate question-answering capability, ontologies are now a focal point in Graph Retrieval Augmented Generation (RAG).In this course, you'll learn how to go about modelling knowledge from a practical perspective, which means that in addition to getting an appreciation of the context of knowledge modelling, you'll also be expected to get your hands dirty! So, we'll be looking at applying different methods for building knowledge models. These methods include graphical as well as formal computer-aided techniques.This course is for people who care about knowledge sharing and making knowledge a true asset to support knowledge management, systems interoperability, intelligent information architecture, best practice knowledge capture, and many more.
