中文簡(jiǎn)介

《信息系統(tǒng)》是支持?jǐn)?shù)據(jù)密集型應(yīng)用程序的軟件和硬件系統(tǒng)?！缎畔⑾到y(tǒng)》雜志發(fā)表了有關(guān)信息系統(tǒng)語(yǔ)言、數(shù)據(jù)模型、過(guò)程模型、算法、軟件和硬件的設(shè)計(jì)和實(shí)現(xiàn)的文章。主題領(lǐng)域包括主要國(guó)際數(shù)據(jù)庫(kù)會(huì)議（如ACM SIGMOD/PODS、VLDB、ICDE和ICDT/EDBT）中提出的數(shù)據(jù)管理問(wèn)題，以及數(shù)據(jù)挖掘/機(jī)器學(xué)習(xí)、與結(jié)構(gòu)化數(shù)據(jù)協(xié)調(diào)的信息檢索、互聯(lián)網(wǎng)和云數(shù)據(jù)管理、業(yè)務(wù)流程等領(lǐng)域的數(shù)據(jù)相關(guān)問(wèn)題。管理、網(wǎng)絡(luò)語(yǔ)義學(xué)、視聽(tīng)信息系統(tǒng)、科學(xué)計(jì)算和數(shù)據(jù)科學(xué)。還歡迎與大規(guī)模并行數(shù)據(jù)管理、實(shí)踐中的容錯(cuò)以及數(shù)據(jù)密集型系統(tǒng)專用硬件有關(guān)的實(shí)施文件。也歡迎來(lái)自應(yīng)用領(lǐng)域的手稿，如城市信息學(xué)、社會(huì)和自然科學(xué)以及物聯(lián)網(wǎng)。所有的論文都應(yīng)該重點(diǎn)介紹數(shù)據(jù)管理問(wèn)題的創(chuàng)新解決方案，如新的數(shù)據(jù)模型、性能增強(qiáng)，并說(shuō)明這些創(chuàng)新如何有助于實(shí)現(xiàn)應(yīng)用程序的目標(biāo)。所有的論文都應(yīng)該用真實(shí)的或潛在的應(yīng)用程序中令人信服的例子來(lái)激發(fā)他們所解決的問(wèn)題。系統(tǒng)論文必須認(rèn)真研究真實(shí)系統(tǒng)或基于真實(shí)系統(tǒng)軌跡的仿真實(shí)驗(yàn)。歡迎來(lái)自工業(yè)組織的論文。理論論文應(yīng)該有明確的應(yīng)用動(dòng)機(jī)。它們應(yīng)該要么突破重要的新領(lǐng)域，要么統(tǒng)一和擴(kuò)展現(xiàn)有的算法。這些文件應(yīng)該清楚地說(shuō)明哪些思想具有潛在的廣泛適用性。EICS邀請(qǐng)選擇接受的信息系統(tǒng)論文的作者提交其論文中描述的實(shí)驗(yàn)，以進(jìn)行再現(xiàn)性驗(yàn)證。由此產(chǎn)生的額外再現(xiàn)性論文由再現(xiàn)性評(píng)審員和原始出版物的作者共同撰寫。除了發(fā)表提交的文章外，總編輯還將邀請(qǐng)回顧性的文章來(lái)描述這些項(xiàng)目的主要架構(gòu)師的重要項(xiàng)目。這類文章的作者應(yīng)該以第一人稱寫作，追溯他們項(xiàng)目的社會(huì)和技術(shù)歷史，描述思想的演變、所犯的錯(cuò)誤和現(xiàn)實(shí)測(cè)試。技術(shù)成果應(yīng)以統(tǒng)一的符號(hào)進(jìn)行解釋，重點(diǎn)是清晰性和可能在該研究環(huán)境之外應(yīng)用的觀點(diǎn)。特別復(fù)雜的細(xì)節(jié)可以參考先前發(fā)表的論文進(jìn)行總結(jié)。我們將盡一切努力使作者有權(quán)在自己的書籍和專著中重新發(fā)表出現(xiàn)在信息系統(tǒng)中的論文。

投稿網(wǎng)址：http://ees.elsevier.com/is

英文簡(jiǎn)介

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.