Towards semantic web-enhanced model-driven engineering

今天，我们比以往任何时候都需要更广泛的软件解决方案。因此，我们需要新的方法，将允许软件系统的快速开发，以便为任何未来的技术挑战做好准备。这种情况促使研究人员建立模型驱动工程（MDE）学科，以实现三个目标：通过关注特定领域（非技术）的细节来提高软件开发人员的生产力;在多个平台上重用相同的设计;以及允许早期发现软件错误。然而，软件是一个知识库，其中的知识主要与应用领域相关，而不是与软件本身作为一个实体相关。因此，我们需要能够共享（跟踪，管理，互操作）编码在软件中的知识，以及关于围绕和影响软件的所有相关方面的知识（例如，的要求和政策）。随着当今Web和基于Web的软件系统的关键作用，对能够共享构建系统所基于的知识的需求甚至更高。这种知识共享和管理需要使用明确的知识定义，因为这是机器能够解释知识的基本需求。这是自然的，那么为什么语义Web技术是一个有前途的方式来解决这些当前的问题。

Today, we need a wider variety of software solutions than ever before. It follows then that we need novel methods that will allow for rapid development of software systems in order to be ready for any future technological challenges. This situation motivated researchers to establish the model-driven engineering (MDE) discipline to achieve three goals: increasing the productivity of software developers by focusing on domain-specific (non-technical) details; reusing the same design for several platforms; and allowing for early discovery of software errors. However, software is a knowledge repository where knowledge is largely related to the application domain, and not to software as an entity itself. So, we need to be able to share (trace, manage, interoperate) the knowledge encoded in software with the knowledge about all relevant aspects surrounding and influencing software (e.g., requirements and policies). With today's critical role of the Web and Web-based software systems, the need to be able to share the knowledge based on which a system is build is even higher. This knowledge sharing and management requires the use of an explicit definition of knowledge, as that is a basic need for machines to be able to interpret knowledge. It is natural then why the Semantic Web technology is a promising way to address these current problems.