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۱۳ اسفند - ۱۷ اسفند ۱۴۰۳

رتبه: National:Germany (CORE2023)Offline

Datenbanksysteme für Business, Technologie und Web

به‌روزرسانی شده: 3 days ago
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BambergGesellschaft für Informatik e.V.

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نمای کلی

The 21st Conference on Database Systems for Business, Technology and Web (BTW 2025) will be held in Bamberg from March 3 to March 7, 2025. This conference is the most significant database conference in the German-speaking area, serving as a forum for scientists, practitioners, and users to exchange information on database and information system technology. The event will feature a scientific conference program, an industry program, system demonstrations, tutorials, workshops, and a program for young scientists.

فراخوان مقالات

Call for Research Papers

The BTW conference is the most important database conference in the German-speaking area, serving as a central forum for the exchange of information between scientists, practitioners, and users on topics of database and information system technology.

BTW 2025 aims to be attractive for authors and participants by including a feedback phase for authors to address reviewer comments and by merging the scientific and industrial programs. Contributions from industry, application examples, and innovative developments are welcome.

Tracks and Topics

Contributions will be organized into five tracks. Authors can assign their papers to more than one track. All tracks welcome basic research, applied research, or application-focused papers.

  1. Database Technologies and Systems

    • Query processing and optimization
    • Storage and physical database design
    • Indexing, access methods
    • Data management on modern hardware
    • Transaction processing and concurrency control
    • Data warehousing and analytics
    • Implementation and architecture of database systems
    • Parallel, distributed, and cloud-based data processing
    • NoSQL systems (e.g. systems for data streams, web and graph data)
    • Performance analysis and benchmarking
  2. Text, Semi-structured Data and IR

    • User aspects of retrieval applications
    • System and foundational aspects
    • Retrieval models, query processing and ranking, efficiency and scalability
    • Machine learning, deep learning and neural models
    • Text mining and text analysis
    • Natural language processing
    • Applications such as web and social media search, professional and domain-specific search
    • Evaluation research of retrieval systems, users, and/or applications
  3. Data Engineering, Data Science & Machine Learning

    • Green-IT, sustainability, data ethics, and FAIR data management
    • Data analytics, mining, intelligent systems and machine learning
    • Data transformation, integration, linkage and interoperability
    • Data preparation, cleaning, profiling, and visualization
    • Data provenance, versioning, and reasoning
    • Data streaming and dataflow engines
    • Batch- and ETL-processing systems
    • Schema engineering, evolution, and optimization
    • Metadata management and recording
    • Data processing on modern hardware, distributed systems, and cloud
    • Semantic data and knowledge bases
    • Benchmarks for data engineering algorithms and workflows
  4. Database Languages & Theory

    • Primarily interested in work focusing on foundational aspects concerning the principles and theory of data management, covering topics from other tracks.
  5. Innovations and Use Cases

    • Showcasing the interplay between advanced database technologies and their industrial applications.
    • Implementation and architectural advancements of database systems, particularly for distributed and big data solutions.
    • Integration and performance optimization of database technologies in the cloud and in "as-a-service" models.
    • Application of Data Engineering, AI, machine learning methods, and language models within database systems.
    • Data protection, security measures, and ethical considerations within industrial data systems.

Procedures

  • The review process will include a feedback phase allowing authors to submit a revision letter.
  • Authors are encouraged to ensure the repeatability and reproducibility of their experiments and analyses; accepted contributions can be subject to a reproducibility test.

Submission Requirements

  • Submission Types: Long papers (original or review papers) and Short papers (current projects and ongoing research).
  • Language: English is required for submissions and recommended for lectures.
  • Format: Submissions must adhere to the layout specifications of the conference proceedings (LNI style: https://gi.de/service/publikationen/lni).
    • Long papers: Maximum 20 pages (excluding references).
    • Short papers: Maximum 10 pages (excluding references).
  • Review Criteria: Thematic fit, degree of innovation, convincing presentation, and evaluation/proof (for long articles), degree of use/impact (for practical contributions).
  • Anonymity: All research track papers are subject to a single-anonymity requirement.
  • Submission Portal: Via href="https://www.conftool.com/btw2025/" - https://www.conftool.com/btw2025/

Deadlines

  • Submission deadline for abstracts: September 13, 2024 (Passed)
  • Papers are due: October 2, 2024 (11:59 pm, GMT+1) (Passed)

تاریخ‌های مهم

تاریخ‌های کنفرانس

Conference Date

۱۳ اسفند ۱۴۰۳۱۷ اسفند ۱۴۰۳

قبلاً:
  • ۳ اسفند ۱۴۰۴ - ۵ اسفند ۱۴۰۴
  • ۱۳ اسفند ۱۴۰۳

ارسال مقاله

Papers are due

۱۱ مهر ۱۴۰۳

رتبه منبع

منبع: CORE2023

رتبه: National:Germany

حوزه پژوهشی: Data management and data science

نقشه

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