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.All papers should motivate the problems they address with compelling examples from real or potential applications. Systems papers must be serious about experimentation either on real systems or simulations based on traces from real systems. Papers from industrial organisations are welcome.Theoretical papers should have a clear motivation from applications. They should either break significant new ground or unify and extend existing algorithms. Such papers should clearly state which ideas have potentially wide applicability.Authors of select accepted Information Systems papers are invited by the EiCs to submit the experiment described in their papers for reproducibility validation. The resulting additional reproducibility paper is co-authored by the reproducibility reviewers and the authors of the original publication.In addition to publishing submitted articles, the Editors-in-Chief will invite retrospective articles that describe significant projects by the principal architects of those projects. Authors of such articles should write in the first person, tracing the social as well as technical history of their projects, describing the evolution of ideas, mistakes made, and reality tests.Technical results should be explained in a uniform notation with the emphasis on clarity and on ideas that may have applications outside of the environment of that research. Particularly complex details may be summarised with reference to previously published papers.We will make every effort to allow authors the right to republish papers appearing in Information Systems in their own books and monographs.

INFORMATION SYSTEMS期刊中文简介

《信息系统》是支持数据密集型应用程序的软件和硬件系统。《信息系统》杂志发表了有关信息系统语言、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（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、业务流程等领域的数据相关问题。管理、网络语义学、视听信息系统、科学计算和数据科学。还欢迎与大规模并行数据管理、实践中的容错以及数据密集型系统专用硬件有关的实施文件。也欢迎来自应用领域的手稿，如城市信息学、社会和自然科学以及物联网。所有的论文都应该重点介绍数据管理问题的创新解决方案，如新的数据模型、性能增强，并说明这些创新如何有助于实现应用程序的目标。所有的论文都应该用真实的或潜在的应用程序中令人信服的例子来激发他们所解决的问题。系统论文必须认真研究真实系统或基于真实系统轨迹的仿真实验。欢迎来自工业组织的论文。理论论文应该有明确的应用动机。它们应该要么突破重要的新领域，要么统一和扩展现有的算法。这些文件应该清楚地说明哪些思想具有潜在的广泛适用性。EICS邀请选择接受的信息系统论文的作者提交其论文中描述的实验，以进行再现性验证。由此产生的额外再现性论文由再现性评审员和原始出版物的作者共同撰写。除了发表提交的文章外，总编辑还将邀请回顾性的文章来描述这些项目的主要架构师的重要项目。这类文章的作者应该以第一人称写作，追溯他们项目的社会和技术历史，描述思想的演变、所犯的错误和现实测试。技术成果应以统一的符号进行解释，重点是清晰性和可能在该研究环境之外应用的观点。特别复杂的细节可以参考先前发表的论文进行总结。我们将尽一切努力使作者有权在自己的书籍和专著中重新发表出现在信息系统中的论文。