9^th International Workshop on Data Science for Industry 4.0(DSI4 2019)

March 26, 2019,Lisbon, Portugal

Scope & Topics

Industrial enterprises currently address the challenge of transforming the ideas of the Internet of Things, Industry 4.0, Cyber-Physical Systems, and similar concepts into reality. A direct application of the IoT approach to the production chains in manufacturing companies is presently not feasible, as there are many more parameters, but much less available data compared to other big data application domains. Modern production is characterized by vast amounts of data. However, this data is neither easily accessible, interpretable, nor connected to gain knowledge. Digital twins are supposed to provide a digital representation of a production landscape, but the challenges in building, maintaining, optimizing, and evolving digital twins in inter-organizational production chains that cross several boundaries have not been addressed yet in a systematic manner.

In this context, also various data management challenges have to be addressed. Huge amounts of heterogeneous sensor data (numerical, audio, video, etc.) have to be processed in real-time in order to control the production machines. In addition, unstructured data from production reports or external sources have also to be integrated to analyze and optimize the production process. Well established mathematical models for production engineering have to be integrated with data-driven machine learning for cross-domain knowledge generation.

Topics of Interest :

• Data Stream Processing for Industrial Data
  
• Adaptive systems
  
• Data Stream Mining
  
• Concept Drift Adaption
  
• Machine Learning in Industrial Applications
  
• IoT Analytics
• Query Processing and Data Integration for Industrial Data
  
• Integration of Sensor Data
  
• Query Processing in Distributed Streaming Systems
  
• Data Integration and Change Propagation
  
• Distributed Architectures for Efficient Management of IoT Data
  
• Edge \& Fog Computing
  
• Blockchain for IoT \& Industry 4.0
  
• New Hardware Architectures for Industrial Data Management
  
• In-Network Data Processing and Analysis
  
• Distributed Communication Networks and Data Analysis
  
• Applications for Industry 4.0 and IoT
  
• Data Management for Manucfacturing Engineering
  
• Smart Homes, Smart Cities, Smart Facilities
  
• Data Analytics in Industrial Internet of Things
  
• Other Emerging Topics for Industrial Applications
  
• Modeling \& Reasoning for Industry 4.0, IoT, Digital Twins
  
• Data Security and Data Sovereignty
  
• Human-centered Interfaces
  
• Semantic Web and IoT, Web of Things
  
• Standardization in Industrial IoT Applications

Important Dates :

Submission Deadline	:	December 20, 2018
Notification Due	:	January 21, 2019
Registration & Camera-Ready Paper Due	:	January 29, 2019

 

User Name : mark
Posted 26-11-2018 on 16:10:53 AEDT

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