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AI-DB结合不仅对于AI技术的有效应用及DB技术的发展,而且对于支持智能信息系统和基于分布式合作网络的下一代计算都是至关重要的。因此,AI-DB结合将对科学技术的基础结构和计算机的商业应用及日常生活应用作出显著贡献。由于这些潜在的贡献,AI-DB结合的意义比仅仅改进AI和DB技术要重要得多。本文展望了未来的计算,提出了AI-DB结合的框架和目标,说明了短期和长期利益,强调了发展之急需。讨论了30年来的进步,描述了现今DB技术对AI系统与AI技术对DB系统的可用性。指出了尚未解决的问题以及有前途和富于挑战的研究方向。为了支持这里的观点,本文公布了对于12个国家400多名AI和DB研究与实践人员的调查结果。这些结果表达了专家们对AI-DB结合和下一代计算之必要性、重要性和现状的看法。
AI-DB combination not only for the effective application of AI technology and the development of DB technology, but also for the next generation of computing support for intelligent information systems and distributed collaborative networks are crucial. Therefore, the combination of AI-DB will make a significant contribution to the infrastructure of science and technology as well as the commercial applications of computers and applications in daily life. Due to these potential contributions, the significance of combining AI-DB is much more important than merely improving AI and DB techniques. This paper looks forward to future calculations, presents the framework and goals for AI-DB integration, illustrates short-term and long-term benefits, and underscores the urgent need for development. Discussed the progress of the past 30 years, describing the availability of DB technology today for AI systems and AI technologies for DB systems. Pointed out the unsolved problems and promising and challenging research directions. In support of this view, this article presents the results of a survey of more than 400 AI and DB researchers and practitioners in 12 countries. These results express the experts’ views on the necessity, importance and current status of AI-DB binding and next-generation calculations.