Conference Description
Database, information, and knowledge systems have always been a core subject of computer science. The ever increasing need to distribute, exchange, and integrate data, information, and knowledge has added further importance to this subject. Advances in the field will help facilitate new avenues of communication, to proliferate interdisciplinary discovery, and to drive innovation and commercial opportunity. Since 1990, DEXA has been an annual international conference which showcases state-of-the-art research activities in database, information, and knowledge systems. DEXA provides 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 database, information, and knowledge systems.
DEXA 2024 invites research submissions on all topics related to database, information, and knowledge systems including, but not limited to the points in the list below. We also welcome survey papers, provided that the survey fills a void or goes beyond existing overview papers.
Relevant Topics
- Acquisition, Modelling, Management and Processing of Knowledge
- Constraint Modelling and Processing
- Cloud Computing and Database-as-a-Service
- Decision Support Systems and Their Applications
- Knowledge Representation and Knowledge Graphs
- Data Modelling, Automation and Optimisation of Processes
- Social Networks, Social Web, Graph, and Personal Information Management
- Visual Data Analytics, Data Mining, and Knowledge Discovery
Program Committee Co-Chairs
- Christine Strauss, University of Vienna, Austria
- Toshiyuki Amagasa, University of Tsukuba, Japan
- Giuseppe Manco, Italian National Research Council (CNR), Italy
Submission Guidelines
Papers submission will be managed using HotCRP:
https://dexa2024.iiwas.org Please check
https://www.dexa.org/PaperSubmission for more details.
All accepted conference papers will be published in a volume of Lecture Notes in Computer Science (LNCS) by Springer Verlag. Authors of selected papers presented at the conference will be invited to submit extended versions of their papers for publication in Knowledge and Information Systems (KAIS), Springer and Transactions of Large Scale Data and Knowledge Centered Systems (TLDKS), Springer. The submitted extended versions will undergo a further review process.
