logo

27 avril - 30 avril 2026

Classement: B (CORE2023)Offline

International Conference on Database Systems for Advanced Applications

Mis à jour le : 2 days ago
0.0 (0 Évaluations)

Aucun abonné pour le moment.

Aperçu

The 31st International Conference on Database Systems for Advanced Applications (DASFAA 2026) will be held in Jeju Island, South Korea, from April 27-30, 2026. DASFAA is a leading international forum for discussing cutting-edge research on database systems and advanced applications.

Appel à communications

Call for Research Papers – DASFAA 2026

The 31st International Conference on Database Systems for Advanced Applications (DASFAA 2026) invites high-quality, original, and unpublished submissions presenting state-of-the-art R&D activities in database systems and their applications. The conference will be held in Jeju Island, South Korea, from April 27-30, 2026.

DASFAA 2026 encourages submissions on topics related to data science/intelligence and AI areas.

Important Dates

All deadlines are 23:59 Anywhere on Earth (AoE). Deadlines are firm, and no extensions are planned.

  • Abstract Submission: October 20, 2025
  • Paper Submission: October 27, 2025
  • Acceptance Notification: January 19, 2026
  • Camera-Ready Submission: February 14, 2026

Topics of Interest

Topics of interest for DASFAA 2026 include, but are not limited to:

Database Systems

  • Query processing and optimization
  • Indexing and storage systems
  • Data models and query languages
  • Databases for emerging hardware
  • Machine learning in databases
  • Data warehousing and Analytic DB
  • HTAP databases/Data lakehouses
  • Transaction management

Advanced and Domain-Specific Databases

  • Graph databases/vector databases
  • Temporal and spatial databases
  • Data streams and time series
  • Probabilistic and uncertain databases
  • Embedded and mobile databases
  • Knowledge management and RDF
  • Text and multimedia databases

Data Management for Specialized Applications

  • Data processing for VR/AR/MR
  • Social network data management
  • Statistical and scientific databases
  • Sensor and IoT data management
  • Cloud, parallel, and distributed databases
  • Blockchain data management

Data Science & Intelligence and Advanced Applications

  • RAG(retrieval-augmented generation)-inspired databases
  • Multi-modal LLM
  • Data mining and knowledge discovery
  • Graph and social network analytics
  • Neural networks and deep learning
  • Recommendation systems
  • Information retrieval and summarization
  • Semantic Web and knowledge graphs
  • Security, privacy, and trust
  • Bioinformatics and healthcare
  • Crowdsourcing and digital libraries
  • Web information systems

Submission Guidelines

  • Paper submission must be in English.
  • All papers will be double-blind reviewed by the Program Committee based on technical quality, relevance to DASFAA, originality, significance, and clarity.
  • All paper submissions must be handled electronically.
  • Any submitted paper violating the length, file type, or formatting requirements will be rejected without review.
  • Each submitted paper should include an abstract up to 200 words and be no longer than 16 pages (including references, appendices, etc.) in LNCS (Lecture Notes in Computer Science) format.
  • Authors are encouraged to cite related work comprehensively. When citing conference papers, please also consider citing their extended journal versions if applicable.
  • All papers must be submitted electronically through the paper submission system in PDF only.
  • Submitted papers must not be previously published in a refereed journal or conference and must not be under consideration by any other conference or journal during the DASFAA review process.
  • If the paper is accepted, at least one author must complete the regular registration and attend the conference to present the paper. No-show authors will have their papers excluded from the proceedings.

Double-Blind Review Policy

DASFAA 2026 employs a double-blind review process. Authors must anonymize their submissions rigorously to prevent identity disclosure. Avoid self-citations that reveal authorship.

Conflicts of Interest

Authors must declare conflicts of interest (COIs) using the submission management system. Conflicts include:

  • Working in the same university or company in the past two years, or will be doing so in the next six months on account of an accepted job offer. Different campuses within the same university system do not count as the same university.
  • Being a co-author of a paper with a PC member in the last three years.
  • Being a collaborator within the past two years, as evidenced in a joint publication, joint research project, or co-organizing events, or collaborating now.
  • Being the master's/PhD thesis advisor of a PC member or vice versa, irrespective of how long ago this was.
  • Being a relative or close personal friend of a PC member.

It is the full responsibility of all authors of a paper to identify and declare all COIs with members of the Program Committee (reviewers, meta-reviewers, and PC chairs) prior to the submission deadline. Submissions with undeclared conflicts or spurious conflicts will be desk-rejected.

Acceptance Categories

  • Full research papers: Presented orally (optional poster).

Formatting and Submission

  • Use LNCS format templates available at: LNCS Guidelines
  • Submissions must be uploaded via the conference submission portal (to be announced soon).

Contact Information

For any inquiries, please contact us at: dasfaa2026pc@conference.org

Program Committee Chairs

  • Hyungsoo Jung, Seoul National University, South Korea
  • Tianzheng Wang, Simon Fraser University, Canada

Dates importantes

Dates de la conférence

Conference Date

27 avril 202630 avril 2026

Soumission

Abstract Submission

20 octobre 2025

Paper Submission

27 octobre 2025

Notification

Acceptance Notification

19 janvier 2026

Version finale

Camera-Ready Submission

14 février 2026

Classement source

Source: CORE2023

Classement: B

Domaine de recherche: Data management and data science

Carte

Loading feedback section...