30 September, 2019

SS10 – Special Session on Semantic Information in Industry 4.0


The Industry 4.0 disruption requires companies to completely rethink their production. New technologies empower companies with data value that forces them to think outside of the box.

Domains like data mining, computational intelligence and knowledge-based techniques for conceptual analysis are now available to produce massive amounts of information and uncover positives and negatives that were unknown secrets.

The objective of the special session is to discuss novel intelligent data analysis methods suitable for the interpretation of industrial event logs, using data mining and computational intelligence techniques, but also background domain knowledge for conceptual analysis. In this sense, this session aims to act as a forum for emerging interdisciplinary research relevant to techniques of this kind and their applications in the Industry 4.0 context.


Session topics include but are not limited to:

  • KPIs Optimization
  • Anomaly Detection On Event Log Data
  • Intelligent Analysis Of Multi-Sensor Data
  • Industrial Case Studies With Real-Life Complex Event Logs
  • Industrial Process Modelling
  • Knowledge Graphs On Event Log Data
  • Network Analysis On Event Log Data
  • Ontology-Based Methods For Event-Log Generation
  • Supervised And Unsupervised Methods Of Log Analysis
  • Conceptual Modelling Of Industrial Processes
  • Conformance Checking Of Industrial Process Models
  • Event Logs Abstraction Methods
  • Mixed production planning and scheduling
  • Resource Risk management
  • Feature extraction on Event Log Data
  • Critical log data analysis in near real-time
  •  Historic Data Analysis

Session Chairs

  • Grzegorz J. Nalepa, AGH University (Poland)
  • Vicente Julian, Universitat Politécnica de Valencia (Spain)
  • Angelo Costa, Universidade do Minho (Portugal)
  • David Camacho, Universidad Autónoma de Madrid (Spain)


Prof. Vicente Julian

Department of Computer Systems and Computation, Universitat Politècnica de València

Building 1F, Office 230, Camino de Vera, s/n, 46022, Valencia (Spain)

E-mail: vjulian@upv.es