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Information Systems (IS)

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インパクトファクター:
3.4
出版社:
Elsevier
ISSN:
0306-4379
閲覧:
39911
フォロー:
31

論文募集

Information Systems (IS) is an academic journal published by Elsevier. (ISSN 0306-4379, impact factor 3.4, CCF B).

Databases: Their Creation, Management and Utilization 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. We welcome systems papers that focus on implementation considerations in massively parallel data management, fault tolerance, and special purpose hardware for data-intensive systems; theoretical papers that either break significant new ground or unify and extend existing algorithms for data-intensive applications; and manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, which present innovative, high-performance, and scalable solutions to data management problems for those domains. 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 organizations are welcome. Theoretical papers should have a clear motivation from applications and clearly state which ideas have potentially wide applicability. Authors of selected articles that have been accepted for publication in Information Systems 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. As part of its commitment to reproducible science, Information Systems also welcomes experimental reproducible survey papers. Such submissions must: (i) apply a substantial portion of the different surveyed techniques to at least one existing benchmark and perhaps one or more new benchmarks, and (ii) be reproducible (the validation of reproducibility will result in a separate paper following the guidelines of our Reproducibility Editor). 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. We will make every effort to allow authors the right to republish papers appearing in Information Systems in their own books and monographs.
最終更新：Dou Sun（）

Special Issues

Special Issue on Collaboration Process Mining for Distributed Systems 投稿締切日: 2026-07-13 The Special Issue on Collaboration Mining for Distributed Systems aims to facilitate the sharing of research findings, ideas, and experiences on new process mining techniques and practices for analyzing collaboration processes. Process mining is a powerful tool for the analysis of business processes carried on by one participant. However, it lacks approaches able to deal with the analysis of collaboration processes implemented by many participants in a distributed system, e.g., supply chains involving manufacturers, producers, and retailers; healthcare scenarios involving patients, hospitals, and doctors; or even multi-agent systems and smart systems like multi-robot and IoT systems. Confidentiality, privacy, data heterogeneity, and case correlation are only a few of the issues related to these scenarios. At the same time, object-centric process mining extends the analysis to the interactions and dependencies between different objects across organizations. This is particularly important in inter-organizational process mining, where data is often spread across different domains with varying formats, structures, and privacy concerns. It helps to uncover hidden inefficiencies, bottlenecks, and coordination issues that arise when multiple entities are involved in a shared process. To bridge this gap, specialized discovery algorithms, conformance techniques, and enhancement approaches are required. In this direction, the special issue points to creating a dialogue centered on the development of scientific foundations enabling the application of collaboration mining for distributed systems. Guest editors: Dr. Lorenzo Rossi (Executive Guest Editor), University of Camerino, Camerino, Italy; Email: [email protected] Prof. Andrea Delgado, Universidad de la República, Montevideo, Uruguay; Email: [email protected] Dr. Sara Pettinari, Gran Sasso Science Institute, L’Aquila, Italy; Email: [email protected] Dr. Mahsa Pourbafrani, RWTH Aachen University, Aachen, Germany; Email: [email protected] Prof. Mathias Weske, Hasso-Plattner-Institut, Potsdam, Germany; Email: [email protected] Special issue information: The main topics relevant to this special issue include, but are not limited to: ● Cross-organizational Process Simulations ● Distributed Event Logs Preprocessing ● Correlation Mechanisms for Distributed Event Logs ● Discovery of Collaboration Process Models ● Conformance Metrics and Techniques for Collaboration Process Models ● Multi-perspective Analysis of Collaborative Processes ● Privacy-preserving Process Mining for Distributed Systems ● Distributed Systems Monitoring and Repair ● Federated Process Mining ● Streaming Collaboration Mining ● Object-centric Process Mining for Distributed Systems ● Case notions for Collaboration Process Mining ● Collaboration Process Mining in application domains (e.g. healthcare, supply chain management) Manuscript submission information: Important Dates: Submission Open Date: December 8, 2025 Submission Deadline: July 13, 2026 Editorial Acceptance Deadline: December 14, 2026 Submission Guidelines: All manuscripts should be submitted electronically through Editorial Manager® at https://www.editorialmanager.com/infosys/default.aspx. When submitting papers, please select the Article Type as "VSI: CoMinDS". Authors should prepare their manuscripts according to the "Guide for Authors" of the Information Systems outlined at the journal website. All papers will be peer-reviewed following a regular reviewing procedure. For any further information, the authors may contact the Guest Editors. Keywords: Process Mining; Cross-organizational; Collaboration Process Mining
最終更新：Dou Sun（）
Special Issue on Best Papers of the EDOC 2025 conference 投稿締切日: 2026-08-30 Enterprise Computing focuses on the design and operation of software systems and computer-based information system within large organizational settings. These systems include many interconnected applications that exchange information with one another. Their purpose is to support the activities of large enterprises by improving operational efficiency or enabling new business. Because such enterprises often span multiple organizational boundaries, enterprise computing solutions must also facilitate the exchange of information across those boundaries. The EDOC conference series provides a key forum for researchers and practitioners in the field of Enterprise Computing. It addresses the full range of models, methodologies, and engineering technologies contributing to building and evolving intra- and inter-enterprise software systems. The EDOC conference series brings together leading computer science researchers, IT decision makers, enterprise architects, solution designers and practitioners to discuss enterprise computing challenges, models and solutions from the perspectives of academia, industry and government. The conference emphasizes a holistic view of enterprise applications engineering and management, fostering integrated approaches that can address and relate processes, people and technology. The 29th edition of the EDOC conference (EDOC 2025) highlighted emerging research and practical advances in Enterprise Computing. Some contributions explored trending topics such as applied Agentic AI for enterprises. The field of Business Process Management saw advancements in business process governance, modeling and optimization, with particular focus on process mining. Research on Cyber-Physical Resilience high- lighted the crucial role of conceptual modeling in enhancing healthcare systems. Further topics included risk-aware enterprise architecture, sustainable transformation to reduce environmental impact, and innovative approaches to identity, accountability, and ontology-based security governance. In this direction, the target of the special issue on ‘Best Papers of the EDOC 2025 conference’ is to select and publish the extended versions of the best papers presented at EDOC 2025, and focused on developing new theoretical, methodological, and technological solutions for enterprise design, operations, and computing. Guest editors: Alessandro Gianola Tenure-Track Assistant Professor INESC-ID/Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal Email: [email protected] Fields of Interest: Formal Methods, BPM, process mining and Logic Renata Guizzardi Assistant Professor Behavioral, Management and Social Sciences Faculty, University of Twente, Enschede, the Netherlands Email: [email protected] Fields of interest: Knowledge Management, Ontologies and Goal-oriented Modeling Special issue information: The topics of interest include, but are not limited to: Enterprise Architecture & Engineering Methods, Frameworks, Reference Models, and Tools, for Enterprise Architecture Enterprise architecture for networked organisations Architecture level concerns, such as interoperability, security, sustainability, etc. Architectural impact of new technologies, including AI, cloud computing, edge computing, blockchain, etc. Service-Oriented Software System Architectures Service composition, orchestration and choreography Service policies, contract definition and enforcement Software & services modeling languages and approaches Architectures for cyber-physical systems Software architecture level concerns, such as interoperability, security, sustainability, etc. Model-Based Software Engineering Software engineering methods for enterprise computing Model-driven architectures and software development Domain specific modeling languages (DSML) Engineering of digital twins Low code platforms Enterprise Security Information Security Cybersecurity Sensing and Awareness Threat modeling, attack simulation, intrusion detection and prevention Access control & SOA security Blockchain and enterprise security Privacy Preserving Technologies Business Process and Business rules Process modeling, verification, configuration, architectures and enabling infrastructures Process mining and robotic process automation Business process agility/flexibility and decision management Business rule languages and engines, process compliance Semantics and Information Management Business object modeling methodologies and approaches Enterprise taxonomies, ontologies and business knowledge integration Master data management, data mining and (real-time) data Data quality and trustworthiness Combining data-driven and symbolic modeling approaches Manuscript submission information: Important Dates: Submission Open Date: January 20, 2026 Submission Deadline: August 30, 2026 Editorial Acceptance Deadline: October 30, 2026 Submission Guidelines: All manuscripts should be invited by the Guest Editors and submitted electronically through Editorial Manager® at https://www.editorialmanager.com/infosys/default.aspx. When submitting papers, please select the Article Type as "VSI: EDOC 2025". Authors should prepare their manuscripts according to the "Guide for Authors" of the Information Systems outlined at the journal website. All papers will be peer-reviewed following a regular reviewing procedure. For any further information, the authors may contact the Guest Editors. Keywords: Enterprise Computing, BPM, Enterprise Architecture & Engineering, Agentic AI for Enterprises, Cyber-Physical Resilience
最終更新：Dou Sun（）

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