A talk about using Linked Data technologies to support the multi-disciplinary engineering processes typical for automation systems, cyber-physical systems and Industrie4.0 in general. Talk given at workshop for "Linked Data in Industry 4.0" at Semantics 2015 (http://www.semantics.cc/satellite-events/linked-data-industry-40).

1. Software Engineering Integration
For Flexible Automation Systems
Linked Data in Automation Systems Engineering
Marta Sabou, Fajar J. Ekaputra, Olga Kovalenko, Stefan Biffl
Institute of Software Technology and Information System.
Vienna University of Technology
http://cdl.ifs.tuwien.ac.at
Christian Doppler Laboratory

2. Cyber-Physical Systems (CPS)
Flexible, adaptive manufacturing (CPPS) Smart, distributed transportation systems
Software Eng.Mechanical Eng. Electrical Eng.
CPS Engineering Phase

3. 3
Problem Setting:
Multi-disciplinary Engineering

4. 4
AutomationML: Industrie4.0 standard
AutomationML consortium: ABB, Daimler, Kuka, Siemens, Volkswagen ….
Open, neutral, XML based, and free industry data representation standard
which enables a domain and company spanning transfer of engineering data
Credits: www.automationml.org

5. Problem Overview
5
①Complex data structure with intricate links between disciplines
②Integration of AutomationML files from different disciplines important
③Limited support for cross-disciplinary analytics
④Limited options for platform independent browsing of AutomationML data
AML Files
External
Sources
(e.g., Ecl@ss)
Solution?
2
3
4
1
Project
Manager
Analysis &
Monitoring
Validation &
Defect
Detection
Browsable
Visualization
Domain
Experts
Engineers
Quality
Manager

6. Solution: AutomationML Analyzer
6
AML Files
Development
External Sources
Development
(e.g., Ecl@ss)
Quality
Manager
Analysis &
Monitoring
Validation &
Defect Detection
Browsable
Visualization
OWL
Transformation
RDF
Triple
store
(Predefined)
SPARQL Queries
Linked Data
Visualization
Ontology Based
Data Integration
& Enhancement
1
AML files
AML
models
OWL/RDF
external data
linked data
interface
end-user
interface
2
Project
Manager
Domain
Experts
Engineers
AML Analyzer
SPARQL query;
query results
AMLHub - AML
Management
3
4
SPARQL
Querying
Endpoint
enhanced
OWL/RDF data
Feedbacks
Relies on Linked Data technologies to enable efficient integration,
browsing, querying, and analysis of diverse mechatronic engineering
models represented in the AutomationML.

7. Browser based visualisation
7
Browsable
internal
links
Different
Views on
Data

8. Querying Integrated AutomationML Data
8
Predefined
SPARQL queries
enable monitoring,
analysis, validation
and defect
detection tasks

9. Take Home Message
 Multi-disciplinary engineering (MDE)
– Representative for CPS and Industrie4.0
– Complex setting
 AutomationML
– Data exchange format for mechatronic engineering data
 Linked Data benefits for MDE:
– Ontology-based integration of diverse engineering models
– Helping to make implicit connections explicit
– Linking to external Web resources (Ecl@ss)
– Creation of browser-based visualizations
– Query supported analysis of cross-disciplinary data
9

10. 10
Thank you