知识赋能的新一代信息系统研究现状、发展与挑战

信息系统的发展目前正处于感知智能迈向认知智能的关键阶段,传统信息系统难以满足发展要求,数字化转型势在必行.数字线索(digitalthread)是面向全生命周期的数据处理框架,通过连接生命周期的各阶段数据,实现物理世界与数字空间的映射与分析.知识图谱(knowledgegraph)是结构化的语义知识库,以符号形式描述物理世界中的概念及其相互关系,通过知识驱动形成体系化的构建与推理流程.两者对知识赋能的信息系统研究具有重要意义.综述了知识赋能的新一代信息系统的研究现状、发展与挑战.首先,从数字线索系统出发,介绍数字线索的概念和发展,分析数字线索的六维数据构成和6个数据处理阶段;然后介绍知识图谱系统,给出普遍认同的知识图谱的定义和发展,概括知识图谱的架构与方法;最后,分析和探索数字线索与知识图谱结合的方向,列举KG4DT (knowledge graph for digital thread)和DT4KG (digital thread for knowledge graph)的受益方向,对未来知识赋能的新一代信息系统提出开放问题.

Survey on Knowledge Enabled New Generation Information Systems

The development of information system is in the critical stage from perceptual intelligence to cognitive intelligence. Traditional information systems are difficult to meet the development requirements, and digital transformation is imperative. Digital Thread is a full-life-cycle data processing framework that maps and analyzes the physical world and digital space by connecting data from different life cycle stages. Knowledge Graph is a structured semantic knowledge base that describes concepts and relationships in the physical world in the form of symbols, forming systematic construction and reasoning process driven by knowledge. Both of them are of great significance to the research of knowledge enabled information system. This paper reviews the current research status, development and challenges of the new generation knowledge enabled information system. First, starting from the digital thread system, this paper introduces the concept and development of digital thread, the six dimensional data structure and six data processing stages of digital thread. Then, this paper introduces the knowledge graph system, gives the generally accepted definition and development of knowledge graph, and summarizes the structure and methods of knowledge graph. Finally, it analyses and explores the direction of combining digital thread with knowledge graph, lists the benefits of KG4DT (Knowledge Graph for Digital Thread) and DT4KG (Digital Thread for Knowledge Graph), raises open questions about the new generation of knowledge enabled information systems in the future.