Towards semantic web-enhanced model-driven engineering

今天，我们比以往任何时候都需要更多种类的软件解决方案。因此，我们需要新的方法，允许快速开发软件系统，以便为未来的任何技术挑战做好准备。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：通过专注于特定于领域的(非技术)细节来提高软件开发人员的生产率；在几个平台上重复使用相同的设计；以及允许及早发现软件错误。然而，软件是一个知识储存库，其中的知识主要与应用程序领域相关，而不是与作为实体的软件本身相关。因此，我们需要能够共享(跟踪、管理、互操作)软件中编码的知识以及关于软件周围和影响软件的所有相关方面的知识(例如，需求和策略)。随着今天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。因此，语义Web技术是解决这些当前问题的一种有前途的方法是很自然的。

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.