The DMPI series explores the latest advances in data modeling, processing, and integration — central to unlocking value across industries, intelligent environments, and environmental sustainability in a data-driven world.
The DMPI series has evolved alongside the data challenges of Industry 4.0, environmental monitoring, and urban systems. This session broadens that focus to welcome innovative contributions from any field where data plays a critical role — spanning data modeling, processing, and integration.
As we move into a future shaped by data-driven decision-making and interconnected systems, the ability to model, process, and integrate vast and diverse datasets becomes central to innovation. DMPI 2027 highlights cutting-edge research, methodologies, and technologies that push the boundaries of how data optimizes systems, enhances automation, and solves complex challenges.
We invite both theoretical explorations and practical implementations. Researchers and professionals from diverse industries are encouraged to share how data-driven innovation is transforming their domains.
ACIIDS 2027 — 19th Asian Conference on Intelligent Information and Database Systems, Bali, Indonesia, 5–7 April 2027.
Session papers follow the main ACIIDS deadlines and peer-review process, and are published in the Springer proceedings alongside regular papers.
The scope of this special session includes, but is not limited to, the following themes:
The DMPI series has evolved alongside the data challenges of Industry 4.0, environmental monitoring, and urban systems, welcoming innovative contributions from any field where data plays a critical role.
We invite both theoretical explorations and practical implementations from researchers and professionals across diverse industries.
Session papers follow the main ACIIDS deadlines and peer-review process, and are published in the Springer proceedings alongside regular papers.
View important dates →Scalable modeling, ontology engineering, metamodeling, and representation standards for multi-system integration.
AI/ML for predictive analysis, cognitive systems, signal processing, and real-time architectures for large-scale systems.
Semantic & syntactic integration of heterogeneous sources, IoT/cloud/edge fusion, and interoperability frameworks.
Adaptive and multi-agent systems, knowledge-based decision-making, and data-driven process optimization.
Industry 4.0, environmental monitoring, healthcare, public safety, agriculture, logistics and beyond.
Efficient model compression, on-device learning, sustainable agentic AI, hardware-software co-design, and contextual sparsity for resource-constrained environments.