期刊信息

Information Systems (IS)

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影响因子:
4.0
出版商:
Elsevier
ISSN:
0306-4379
浏览:
42885
关注:
31
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征稿

Information Systems (IS) is an academic journal published by Elsevier. (ISSN 0306-4379, impact factor 4.0, CCF B).

Aims & Scope 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.
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特刊

特刊：The 38th International Conference on Advanced Information Systems Engineering (CAiSE 2026): Best papers 截稿日期: 2026-10-19 The 38th International Conference on Advanced Information Systems Engineering (CAiSE 2026), held in Verona, Italy, during June 8–12, 2026. This is a premier international forum for research and practice in Information Systems Engineering, attracting high-quality contributions from a vibrant and diverse global community. CAiSE 2026 was organized around the theme “Rethinking Information System Engineering in a Continuously Changing Information System World.” This theme reflects the growing need to revisit established concepts, methods, and tools considering the rapid and ongoing evolution of digital technologies and their impact on organizations and society. Following a rigorous and highly selective review process, 46 papers were accepted for presentation and inclusion in the proceedings, corresponding to an acceptance rate of approximately 14%. The Special Issue invites a selection of the top 5 papers out of the 46 high-quality conference papers, covering topics from process mining and predictive process monitoring, the usage of Generative AI in tasks such as crowdsourcing, and process performance indicators, among others. The authors of the selected papers will be invited to submit an extended version of their CAiSE’25 paper with at least 30% new material. Guest editors: Prof. Lidia Fuentes (Executive Guest Editor), University of Málaga, Málaga, Spain; Email: [email protected] Prof. Pierluigi Plebani, Politecnico di Milano, Milan, Italy; Email: [email protected] Manuscript submission information: Important Dates: Submission Open Date: October 1, 2026 Submission Deadline: October 19, 2026 Editorial Acceptance Deadline: April 17, 2027 Submission Guidelines: All manuscripts should be invited by the Guest Editors and submitted electronically through the link: https://submit.elsevier.com/INFOSYS. When submitting papers, please select the Article Type as "VSI: CAiSE 2026". 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: Information Systems Engineering; Models, Methods and Techniques in IS Engineering; Architectures and Platforms for IS Engineering https://www.sciencedirect.com/special-issue/335293/the-38th-international-conference-on-advanced-information-systems-engineering-caise-2026-best-papers
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特刊：Best Papers of DOLAP 2026 截稿日期: 2026-11-30 This special issue contains extended versions of the best papers of the DOLAP 2026 (28th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data) workshop, selected by the workshop chairs and the program committee. Guest editors: Prof. Eleni Tzirita Zacharatou (Executive Guest Editor) Hasso Plattner Institute & University of Potsdam, Potsdam, Germany Email: [email protected] Areas of Expertise: spatial data management; large-scale data analytics; query optimization Prof. Alejandro Maté Morga University of Alicante, Alicante, Spain Email: [email protected] Areas of Expertise: data analytics; requirement engineering; artificial intelligence Manuscript submission information: Important Dates: Submission Open Date: August 1, 2026 Submission Deadline: November 30, 2026 Editorial Acceptance Deadline: March 31, 2027 Submission Guidelines: All manuscripts should be invited by the Guest Editors and submitted electronically through the link: https://submit.elsevier.com/INFOSYS. When submitting papers, please select the Article Type as "VSI: DOLAP 2026". 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: Design, Optimization, Languages and Analytical Processing of Big Data https://www.sciencedirect.com/special-issue/335716/best-papers-of-dolap-2026
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特刊：ADBIS 2026 Best Papers 截稿日期: 2027-01-15 The explosion of data nowadays, requires data-centric information systems to provide characteristics that can handle both scale and attention to details in a way that makes them usable for their administrators, developers and end-users. Thus, they need to be able to scale smoothly as the volume, rate and heterogeneity of data increases, responsibly, in order to facilitate the avoidance of bias or exclusion from any data analytics algorithms that run over their data, and comprehensively, in order to facilitate a smooth coupling of data production systems, internal data representation and valuegenerating applications (e.g., applications providing data analytics to end users.) This Special Issue selects the best papers from the 30th European Conference on Advances in Databases and Information Systems (ADBIS 2026) contributing to the areas related to database, information systems, data science, artificial intelligence, and machine learning communities from Europe and the rest of the world. Guest editors: Prof. Julien Aligon (Executive Guest Editor) Université Toulouse Capitole, Toulouse, France Email: [email protected] Areas of Expertise: Data science, Machine Learning, Explainable AI, Recommender Systems Prof. Oscar Romero Universitat Politècnica de Catalunya, Barcelona, Spain Email: [email protected] Areas of Expertise: Data Management, Big Data, Data Engineering, Knowledge Graphs Manuscript submission information: Important Dates: Submission Open Date: December 15, 2026 Submission Deadline: January 15, 2027 Editorial Acceptance Deadline: June 30, 2027 Submission Guidelines: All manuscripts should be invited by the Guest Editors and submitted electronically through the link: https://submit.elsevier.com/INFOSYS. When submitting papers, please select the Article Type as "VSI: ADBIS 2026". 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: Databases; information systems; query processing; big data; data science https://www.sciencedirect.com/special-issue/335765/adbis-2026-best-papers
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特刊：Selected papers from the 19th International Conference on Similarity Search and Applications (SISAP 2026) 截稿日期: 2027-02-28 This special issue of Information Systems will contain the best papers from the 19th International Conference on Similarity Search and Applications (SISAP 2026, https://www.sisap.org/2026), held in Brno, Czech Republic, from October 14 to October 16, 2026. Established in 2008, SISAP has evolved into a premier annual conference, consistently publishing with Springer Lecture Notes in Computer Science (LNCS) since 2011. Recognized as a CORE B-ranked conference, SISAP stands as a significant forum for researchers and practitioners in the theory, design, analysis, practice, and application of content-based and feature-based similarity search. This special issue will present cutting-edge research, reflecting the high-quality contributions that have characterized SISAP over the years, thereby emphasizing the importance and relevance of the selected works. Guest editors: Dr. Klaus Schöffmann (Executive Guest Editor) Institute of Information Technology (ITEC), Klagenfurt University, Klagenfurt, Austria Email: [email protected] Dr. Fabio Carrara Institute of Information Science and Technologies (ISTI), Italian National Research Council (CNR), Pisa, Italy Email: [email protected] Special issue information: The special issue focuses on similarity search — a fundamental component across numerous fields, including data mining, information retrieval, multimedia retrieval, computer vision, pattern recognition, computational biology, geography, biometrics, and machine learning. The selected papers form a coherent collection by exploring: - novel similarity search algorithms, introducing innovative methods for efficient and effective similarity retrieval in high-dimensional and complex data spaces, - indexing techniques, developing advanced indexing structures to enhance search performance, - applications across domains, showcasing the implementation of similarity search in real-world applications, and - performance evaluation and benchmarks, providing common test beds and benchmarks to standardize performance evaluation in similarity search research. Manuscript submission information: Important Dates: Submission Open Date: November 15, 2026 Submission Deadline: February 28, 2027 Editorial Acceptance Deadline: September 30, 2027 Submission Guidelines: All manuscripts should be invited by the Guest Editors and submitted electronically through the link: https://submit.elsevier.com/INFOSYS. When submitting papers, please select the Article Type as "VSI: SISAP 2026". 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: similarity search algorithms; indexing techniques; applications across domains; performance evaluation and benchmarks https://www.sciencedirect.com/special-issue/335763/selected-papers-from-the-19th-international-conference-on-similarity-search-and-applications-sisap-2026
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