17th Asian Conference on Intelligent Information and Database Systems
23-25 April 2025, Kitakyushu, Japan
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23-25 April 2025, Kitakyushu, Japan
DMPI 2025
Special Session onData Manipulation, Processing and Integration
at the 17th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2025)23-25 April 2025, Kitakyushu, Japan
Special Session Organizers
Hoai Phuong Ha
Department of Computer Science
UiT The Arctic University of Norway
E-mail: phuong.hoai.ha@uit.no
Rafał Palak
Department of Information Systems
Wrocław University of Science and Technology, Poland
E-mail: rafal.palak@pwr.edu.pl
Krystian Wojtkiewicz
Department of Information Systems
Wrocław University of Science and Technology, Poland
E-mail: krystian.wojtkiewicz@pwr.edu.pl
Department of Computer Science
UiT The Arctic University of Norway
E-mail: phuong.hoai.ha@uit.no
Rafał Palak
Department of Information Systems
Wrocław University of Science and Technology, Poland
E-mail: rafal.palak@pwr.edu.pl
Krystian Wojtkiewicz
Department of Information Systems
Wrocław University of Science and Technology, Poland
E-mail: krystian.wojtkiewicz@pwr.edu.pl
Objectives and topics
The DMPI series has evolved, addressing data challenges in Industry 4.0, environmental monitoring, and urban systems. For DMPI 2025, we broaden the focus to encompass a wide range of applications, welcoming innovative contributions from various fields where data plays a critical role. This session explores the latest advancements in data modeling, processing, and integration, vital to unlocking value across industries, intelligent environments, environmental sustainability, and beyond.
As we transition into a future dominated by data-driven decision-making and interconnected systems, the ability to effectively model, process, and integrate vast and diverse datasets is becoming central to innovation. DMPI 2025 will highlight cutting-edge research, methodologies, and technologies that push the boundaries of how data can be leveraged to optimize systems, enhance automation, and solve complex challenges across various domains.
This session invites theoretical explorations and practical implementations demonstrating how data modeling, processing, and integration can unlock value in different fields. Researchers and professionals from diverse industries and sectors are encouraged to present their findings on how data-driven innovation transforms their domains.
As we transition into a future dominated by data-driven decision-making and interconnected systems, the ability to effectively model, process, and integrate vast and diverse datasets is becoming central to innovation. DMPI 2025 will highlight cutting-edge research, methodologies, and technologies that push the boundaries of how data can be leveraged to optimize systems, enhance automation, and solve complex challenges across various domains.
This session invites theoretical explorations and practical implementations demonstrating how data modeling, processing, and integration can unlock value in different fields. Researchers and professionals from diverse industries and sectors are encouraged to present their findings on how data-driven innovation transforms their domains.
- Advanced techniques for scalable and accurate data modeling
- Ontology engineering and semantic modeling for enhanced data interoperability
- Metamodeling and conceptual frameworks for diverse application domains
- Data representation standards for multi-system integration
- Tools and languages for modeling complex, distributed systems
- AI and machine learning techniques for predictive data analysis
- Cognitive systems for adaptive and intelligent data processing
- Signal processing methods for diverse data types (e.g., sensor, IoT)
- Real-time data processing architectures for large-scale systems
- Statistical and stochastic methods for analyzing complex data
- Semantic and syntactic data integration for heterogeneous data sources
- Techniques for combining IoT, cloud, and edge data in real-time
- Data fusion methods for multi-domain and multi-source environments
- Interoperability frameworks for cross-system data integration
- Architectures for scaling data integration in complex, distributed systems
- Adaptive systems for dynamic and real-time data environments
- Multi-agent and collaborative systems for large-scale data management
- Knowledge-based systems for enhanced decision-making
- IT architectures for distributed data processing and integration
- Data-driven process optimization in various industrial and smart environments
- Data modeling and processing for intelligent manufacturing and Industry 4.0
- Environmental monitoring and sustainability through data integration
- Predictive modeling for resource management, energy, and transportation
- Real-world case studies on data integration for healthcare, public safety, and infrastructure
- Data-centric solutions for intelligent systems in agriculture, logistics, and more
1. DATA MODELING AND REPRESENTATION:
2. DATA PROCESSING AND ANALYTICS:
3. DATA INTEGRATION:
4. SYSTEMS AND IT ARCHITECTURE:
5. APPLICATIONS AND CASE STUDIES:
ACIIDS 2025 important dates
Paper submission: January 19, 2025 (hard deadline)
Notification of acceptance: February 10, 2025
Camera-ready papers: February 24, 2025
Registration & payment: February 24, 2025
Conference date: April 23-25, 2025
Notification of acceptance: February 10, 2025
Camera-ready papers: February 24, 2025
Registration & payment: February 24, 2025
Conference date: April 23-25, 2025