IMPORTANT DATES
• 10th July – Submission deadline
• 29th July – Paper decision
• 1st August – Camera Ready
• 19th September- Workshop DB+AI
DB+AI – 1st Brazilian Workshop on the Integration of Databases and Artificial Intelligence (co-located with SBBD 2022, Búzios, RJ)
The scientific community has witnessed a popularity explosion of Artificial Intelligence (AI), fostered by the development of novel techniques from several paradigms, including deep learning and ensembles. Therefore, several AI-based applications have emerged to support the regular tasks performed by different experts and domains, including Databases. In particular, the integration of AI and Database communities has already shown its potential, as seen in recent events organized by the field-leading SIGMOD and VLDB committees. AI applies to regular tasks manually performed by Database Management Systems (DBMSs) experts or its internal routines, such as query processing, database tuning, loading, balancing, and scaling. Although AI-based solutions do not always fully automate those tasks (as many require human-in-the-loop interactions), they are still valuable for warning experts about potentially unexpected behaviors that may require further actions to ensure the DBMS resiliency. While AI techniques can enhance DBMSs’ maintenance and setups, Database techniques also apply to optimize the performance and life cycle of AI applications in a two-way integration. An example of DB design that supports AI applications is the coupling of similarity queries within DBMS search engines, which provide direct integration for case-based AI tasks such as distance-based classification, clustering, and content-based retrieval. The Database research community also has a solid history of efficient designs and solutions to (i) track data transformations and (ii) capture and manage applications’ metadata, including those within trained models. Those solutions can provide new capabilities to AI specialists for solving large and complex data-driven problems. Accordingly, this workshop aims to offer Database and AI students, researchers, and professionals an opportunity to present their latest (and ongoing) results regarding this research topic.
Submission Instructions
Papers must be written in Portuguese or English and not exceed 8 pages (including references), according to the SBC template. Papers submitted to DB+AI Workshop must not have been simultaneously submitted to any other forum (conference or journal), nor have already been published elsewhere. The acceptance of a paper implies that at least one of its authors will register for the SBBD to present it at the workshop. Papers must be submitted by the deadline through the JEMS website. Submitted papers will undergo a single blind reviewing process, where the authors’ identities are visible to the reviewers, and the reviewers’ identities are hidden from the authors. The papers will be reviewed based on originality, relevance, technical soundness, and clarity of presentation.
Format and duration
DB+AI will be an in-person workshop with live presentations. We expect to have one keynote speaker talks to be announced soon.
Topics of Interest
- Query processing based on AI techniques
- Resource scaling based on AI techniques
- Load balancing based on AI techniques
- Data preprocessing and cleaning using AI
- Optimization of indexing structures using AI
- Querying high-dimensional spaces with AI methods
- Automatic DB configuration using AI techniques
- Data Security with AI techniques
- Data Integration based on AI techniques
- Data Management for AI Applications
- Data Management to support Model Explainability
- AI Model Management
- Application of Frameworks of Big Data for AI Applications
- SQL extensions to support AI models
- DB techniques to support the training of AI models
- DB techniques to speed up AI model inference
Program Committee (to be confirmed)
- Aline Paes (IC/UFF) – co-chair
- Altigran Silva (UFAM)
- Angelo Brayner (UFC)
- Carlos Eduardo Pires (UFCG)
- Daniel de Oliveira (IC/UFF) – co-chair
- Daniel Kaster (UEL)
- Eduardo Almeida (UFPR)
- Eduardo Ogasawara (CEFET/RJ)
- Eduardo Bezerra (CEFET/RJ)
- Esther Pacitti (INRIA, França)
- Fabio Porto (LNCC)
- Ji Liu (Baidu – China)
- Jonas Dias (Evergen – Australia)
- José Maria Monteiro (UFC)
- Leonardo Guerreiro (IBM Research)
- Luciano Barbosa (UFPE)
- Lúcio Dutra (IFNMG)
- Marcos Bedo (INFES/UFF) – co-chair
- Marta Mattoso (COPPE/UFRJ)
- Renan Souza (IBM Research)
- Ronaldo Mello (UFSC)
- Victor Ströele (UFJF)
- Vítor Silva (Snap – Estados Unidos)
- Wagner Meira (UFMG)
Workshop Chairs
- Aline Paes (IC/UFF) – alinepaes@ic.uff.br
- Daniel de Oliveira (IC/UFF) – danielcmo@ic.uff.br
- Marcos Bedo (INFES/UFF) – marcosbedo@id.uff.br