Information Systems

Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems. Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome. Manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, are also welcome. All papers should highlight innovative solutions to data management problems such as new data models, performance enhancements, and show how those innovations contribute to the goals of the application.

《信息系统》杂志发表有关信息系统语言、数据模型、过程模型、算法、软件和硬件的设计和实现的文章。 主题领域包括主要国际数据库会议（例如 ACM SIGMOD/PODS、VLDB、ICDE 和 ICDT/EDBT）中提出的数据管理问题，以及数据挖掘/机器学习、与结构化数据协调的信息检索、互联网和云数据管理、业务流程管理、网络语义、视觉和音频信息系统、科学计算和数据科学等领域的数据相关问题。也欢迎与大规模并行数据管理、实践中的容错和数据密集型系统专用硬件有关的实施论文。也欢迎来自城市信息学、社会和自然科学以及物联网等应用领域的手稿。所有论文都应重点介绍数据管理问题的创新解决方案，例如新数据模型、性能增强，并展示这些创新如何有助于实现应用目标。