We solicit submissions in the following areas of data management. Submissions addressing foundational aspects and (short) papers illustrating applications of foundational results in real-world contexts are particularly welcome.

Topics

• Approximate and probabilistic query answering
• Data analytics
• Data exchange and integration
• Data exploration
• Data mining
• Data modelling
• Data privacy, security, and blockchain
• Data provenance
• Data streams
• Data visualization
• Data warehousing
• Database benchmarking
• Database concurrency and transactions
• Database storage and indexing
• Distributed and parallel databases
• Domain-specific databases
• Ethics of data science
• Graph data management
• Incompleteness, inconsistency, and uncertainty in databases
• Information extraction
• Information retrieval
• Knowledge representation
• Logic and databases
• Machine learning and databases
• Model theory and databases
• Physical design
• Query languages
• Query processing and optimization
• Semantic Web
• Social networks
• Spatial/temporal data

Submissions

We invite two types of submissions:

• Short papers (up to 4 pages) containing original ongoing research or recently published results.
• Extended abstracts (up to 10 pages) presenting original research.

Submissions should be written in English and formatted according to the single-column CEURART style. You can use the CEUR Overleaf template as reference.

Submissions must be uploaded in PDF format using the following link:
https://easychair.org/conferences/?conf=amw2024

Both extended abstracts and short papers will be published in the CEUR Workshop Proceedings.¹

1. Follow the single-column CEURART Style

2. Complete and sign the Author Agreement Form

• Fill in Gabriela Montoya, Emanuel Sallinger, and Genoveva Vargas-Solar as Editors of the proceedings.

3. Use the emphasizing capitalized style for your paper title

• CEUR instructions references https://wiki.musicbrainz.org/Style/Language/English for hints about how to correctly use this style

4. Choose the author agreement form that corresponds to your paper:

• AUTHOR-AGREEMENT (NTP) if your paper includes “no copyrighted third party material and no material in the paper was produced with the help of Generative Artificial Intelligence tools”

• AUTHOR-AGREEMENT (TP) if your paper includes “copyrighted third party material or includes material produced with the help of Generative Artificial Intelligence tools”

5. For papers including copyrighted third party material, append a copy of the permission(s) by the third parties to use this material to the signed author agreement

6. For papers including material produced with the help of Generative Artificial Intelligence tools, fill in and sign a declaration on which elements were produced by AI tools.

• Please notice that substantial use of AI is not acceptable (https://ceur-ws.org/ACADEMIC-ETHICS.html?ver=2024-06-04)

7. The author agreement and eventual permissions and declarations appended to the agreement must be physically signed with an ink pen on paper and scanned

• To comply with https://ceur-ws.org/HOWTOSUBMIT.html#FAQ-HAND-SIGNATURE

8. Provide the author agreement and eventual permissions and declarations appended to the agreement as a PDF file of at most 1MB

9. Make sure that the authors’ names and affiliations are correct

10. Keep the copyright clause as in the template

*Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

11. Update copyright year to “2024”

12. Update conference to:

“AMW 2024: 16th Alberto Mendelzon International Workshop on Foundations of Data Management, September 30th–October 4th, 2024, Mexico City, Mexico”

13. The paper must not include page numbers

Your camera ready submission must be completed by August 28th, 2024 and include the following files:

• AuthorAgreementPaperXXXX.pdf (a PDF file of at most 1MB that includes eventual permissions for copyrighted third party material and AI declaration)

• paperXXXX.pdf

• paperXXXX.zip (including all the source files to generate paperXXXX.pdf)