# DEXA — International Conference on Database and Expert Systems Applications

- **Submission deadline**: 2026-03-15
- **Notification date**: 2026-05-15
- **Conference date**: 2026-08-11
- **Location**: Graz, Austria
- **Rankings**: CCF C · CORE C · QUALIS B1
- **Conference Partner Index**: 68.1/100 (ranked #353, confidence 0.80, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 77
- **Attendees**: 22
- **Canonical page**: https://www.myhuiban.com/conference/77

## Call for papers

Scope Data engineering and data analytics have been important R&D areas for years, with applications in multiple sectors (e.g., finance, energy, manufacturing, health care, security), but there still exist unsolved research and technological issues. Data engineering techniques are widely applied to store and manage data. New types of highly heterogeneous data of large volumes (referred to as big data) created every second, require a continuous development of new techniques to handle these new types of data. On the one hand, more and more frequently, these techniques need to be supported by Machine Learning (ML) algorithms, commonly called Artificial Intelligence (AI). These algorithms allow to provide solutions for difficult data management problems. Moreover, data science and data analytics rely on AI in the process of discovering dependency patterns, building complex prediction models, and processing natural language. On the other hand, data engineering techniques are indispensable for pre-processing data for AI. Thus, worlds of AI, data engineering, and data analytics are strongly interconnected. Since 1990, DEXA has been an annual international conference which showcases state-of-the-art research activities in databases, data integration, advanced data anlytics, and knowledge systems. With the recent advances of big data and ML/AI DEXA covers these broad topics as well, to provide a forum to present research results and to examine advanced applications in the field. The conference and its associated workshops offer an opportunity for developers, scientists, and users to extensively discuss requirements, problems, and solutions in standard and just emerging research and technological topics on data and knowledge management. Topics of Interest DEXA 2026 invites submissions of original research papers as well as experience and survey papers on all topics related to database, information, and knowledge systems including, but not limited to: Data mesh, data fabric, and data spaces Data privacy and security Cloud data management Data quality assurance, monitoring, and management Data governance techniques and architectures Data integration and interoperability Big data storage and search Data as a Service (DaaS) technologies Connectors as a Service (CaaS) technologies Data pipeline automation Data modeling Standard and non-standard databases Distributed ledger technologies Real-time data processing Descriptive, predictive, and prescriptive analytics on standard and big data Artificial Intelligence (AI) for data management AI for data engineering Data engineering for AI Large Language Models for data engineering AI model governance AutoML/AI solutions Machine Learning Operations (MLOps) AI powered data analytics Integrating LLMs with external data sources Text analytics Graph management and analytics Quantum technologies for data engineering and analytics

## Related conferences

- ICC — International Conference on Communications — https://www.myhuiban.com/conference/318
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- TrustCom — International Conference on Trust, Security and Privacy in Computing and Communications — https://www.myhuiban.com/conference/1289
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- HPCC — International Conference on High Performance  Computing and  Communications — https://www.myhuiban.com/conference/232

## Related journals

- Expert Systems — https://www.myhuiban.com/journal/604
- Expert Systems with Applications — https://www.myhuiban.com/journal/210
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Future Generation Computer Systems — https://www.myhuiban.com/journal/36
- Neurocomputing — https://www.myhuiban.com/journal/234

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Source: Conference Partner — https://www.myhuiban.com/conference/77 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)