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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ontologies-for-business-analysis/
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课程名称：商业分析中的本体论 课程概述： 商业分析的实践围绕需求的形成、转化和最终确定，旨在推荐合适的解决方案以支持企业变革项目。在商业分析领域的从业者运用多种建模工具，捕捉企业的不同视角，包括业务流程视角、数据流视角、功能视角和静态结构视角等。这些工具有助于决策支持，并在将企业转型为“智能企业”的过程中尤为重要，即能够在一定程度上“自我描述”并适应组织变革。不过，当前主流建模工具在实现该能力上仍有不足。为了达到这一目标，我们需要超越现有工具的使用，考虑提供人机共享语义的方法，捕捉描述企业视角的实体的语义，这就是本体论的概念所在。 本体论是提供人机共享意义的表示，极大地丰富了商业分析师的工具箱。它帮助您正式表示准确且可重用的领域知识，与企业知识的重用战略高度契合。本体论是平台无关的知识模型，构建它们不需要 extensive 的技术或软件工程技能。这意味着作为商业分析师，您能够在任何系统或软件设计项目中生成蓝图，更快地原型化信息结构并进行测试，然后再将您的规格交给软件工程师实施。因此，本体论建模赋予商业分析师作为信息和知识架构师的能力。 此外，本体论在信息系统互操作性方面极为相关，为您提供推动语义数据交换和跨多种信息源及存储库的联邦机制。它们还可以扩展到结构化知识库，以应对不断变化的链接数据，这些数据具有复杂的关系并保存在动态模式中，能够很好地响应组织知识的变化。这只是从商业分析的角度看本体论的一部分有益之处；实际上，本体论的应用远不止于此！ 本课程旨在成为一场变革，重点全面介绍本体论在商业分析应用中的作用，以鼓励该方法的采用。课程提供的材料涵盖相关的背景信息，使学员能够熟悉所解释的概念、应用本体论在商业分析实践中的理由、示范实例及其他重要细节，以便您迅速构建自己的商业分析流程中的本体论应用。成为商业分析领域应用本体论的先驱，引领您的成功故事！
The practice of Business Analysis revolves around the formation, transformation and finalisation of requirements to recommend suitable solutions to support enterprise change programmes. Practitioners working in the field of business analysis apply a wide range of modelling tools to capture the various perspectives of the enterprise, for example, business process perspective, data flow perspective, functional perspective, static structure perspective, and more. These tools aid in decision support and are especially useful in the effort towards the transformation of a business into the "intelligent enterprise", in other words, one which is to some extent "self-describing" and able to adapt to organisational change.However, a fundamental piece remains missing from the puzzle. Achieving this capability requires us to think beyond the idea of simply using the current mainstream modelling tools. Instead, we need to take into account methods that provide a basis for sharing meaning at both human and computational level, and that are geared to capturing the semantics (i.e. the meaning) of entities that describe our enterprise perspectives. This is where the concept of ontologies come in. Ontologies are representations that provide a basis for sharing meaning at human and computational level, and are an invaluable addition to any business analyst's toolkit.Ontologies help you formally represent domain knowledge that is accurate and reusable, which aligns very well with your reuse strategy for enterprise knowledge. Ontologies are platform-agnostic knowledge models and building them does not require you to have any extensive technical or software engineering skills. This means that as business analyst, you are able to produce the blueprints for any system or software design project, allowing you to more rapidly prototype information structures and test them out before passing your specifications over to software engineers to implement. Consequently, ontology modelling empowers business analysts as information and knowledge architects.In addition, ontologies are extremely relevant to the area of information systems interoperability, providing you with the mechanisms to drive semantic data exchange and federation across multiple information sources and repositories. They can also be extended into structured knowledge bases for constantly-evolving linked data that have complex relationships and are held in dynamic schemas, thereby responding very well to changes in organisational knowledge. The thing is - that's just a glimpse of some of the useful benefits of ontologies from a business analysis standpoint - ontologies, in practice, do much more than that!This course is intended to be a game changer, focusing on providing a comprehensive introduction to ontologies in the context of business analysis application, in order to encourage the adoption of the approach. The material provided in the course covers relevant background information to get comfortable with the concepts being explained, the justifications for applying ontologies in business analysis practice, walkthrough examples, and other important details that are pertinent for you to be able to hit the ground running with using ontologies within your own business analysis pipeline. Become a pioneer of applied ontology in the field of business analysis and lead the way to telling your success story!
