[CfP] KLARI - 4th Workshop on Knowledge Graphs and Linked Data Applications in Robotics and Industry 4.0

CALL FOR CONTRIBUTIONS

KLARI - 4th Workshop on Knowledge Graphs and Linked Data Applications in Robotics and Industry 4.0

9.9.2019, Karlsruhe, Germany
Co-located with SEMANTiCS 2019 - The Linked Data Conference

https://klari.fhstp.ac.at

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Topics of Interest
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The overall goal of the KLARI workshop is to identify challenges and limitations in Robotics and Industry 4.0 and discuss with experts from the knowledge graph and linked data community how knowledge graphs and linked data can be effectively applied addressing the synergies and solution approaches. Industry 4.0 is a collective term (created in Germany) for the technological concepts of cyber-physical systems, the Internet of Things and the Internet of Services, leading to the vision of the Smart Factory. Within a modular structured Smart Factory, cyber-physical systems monitor physical processes, and make decentralized decisions. Over the Internet of Things, cyber-physical systems communicate and cooperate with each other and humans in real time. As identified in both academia and industry, there are several design principles in Industry 4.0, which support companies in identifying and implementing Industry 4.0 scenarios:

- Interoperability: the ability of cyber-physical systems (i.e. workpiece carriers or assembly stations) and humans to connect and communicate via the Internet of Things 
- Virtualization: linking sensor data (from monitoring physical processes) with virtual plant models and simulation models 
- Decentralization: the ability of cyber-physical systems within Smart Factories to make decisions on their own
- Real-Time Capability: the capability to collect and analyze data and provide the derived insights immediately
- Service Orientation: offering of services (cyber-physical systems, humans or Smart Factories)
- Modularity: flexible adaptation of Smart Factories to changing requirements by replacing or expanding individual modules

In addition, one of the aims in robotics is to build smarter robots that can communicate, collaborate and operate more naturally and safely. Increasing a robot's knowledge and intelligence is a vital for the successful implementation of Industry 4.0, since traditional approaches are not flexible enough to respond to the rapidly changing demands of new production processes and their growing complexity. Knowledge graphs and linked data represents a promising approach to overcome limitations of the state-of the- art solutions. The following list of topics is indicative, but other topics are also welcome:

- Knowledge Representation for Robotics 
- Data integration 
- Motion and task planning
- Manipulation and grasping
- Object and place recognition
- Human-Robot and Robot-Robot Interaction
- Navigation
- Databases for robotics applications
- Multidisciplinary Topics 

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Submission Guidelines
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The KLARI workshop at SEMANTiCS 2019 welcomes the submission of papers on scientific research and/or innovations relevant to the topics of the workshop. Submissions must be original and must not have been submitted for publication elsewhere. Papers should follow the latest Springer LNCS guidelines for formatting (https://www.springer.com/de/it-informatik/lncs/conference-proceedings-guidelines) and must not exceed 10 pages in length, including references and optional appendices. Papers must be submitted in PDF format. Other formats will not be accepted. For the camera-ready version, the source files (Latex, Word) will also be needed.

Submissions will be reviewed by at least 2 PC members following a double-blind review process. Accepted papers will be given guidelines in preparing and submitting the final manuscript(s) together with the notification of acceptance.

Submission via Easychair using https://easychair.org/conferences/?conf=klari2019

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Important Dates
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Submission Deadline: July 5, 2019 (11:59 pm, CET time)
Notification of Acceptance: August 19, 2019
Camera-Ready Paper: August 30, 2019
Workshop day: September 9, 2019

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Workshop Organizers
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Thomas Moser, St. Pölten University of Applied Sciences (thomas.moser@fhstp.ac.at)
Munir Merdan, Practical Robotics Institute Austria (merdan@pria.at)

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Preliminary Program Committee
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Amin Anjomshoaa (Massachusetts Institute of Technology, USA)
Sergio De Cesare (University of Westminster, UK)
Fajar Ekaputra (Vienna University of Technology, Austria)
Petr Kadera (Czech Technical University, Czech Republic)
Paulo Leitao (Instituto Politécnico de Bragança, Portugal)
Wilfried Lepuschitz (PRIA, Austria)
Jacek Malec (Lund University, Sweden)
Martin Melik-Merkumians (Vienna University of Technology, Austria)
Tassilo Pellegrini (St. Pölten University of Applied Sciences, Austria)
Thomas Strasser (AIT, Austria)
Davor Svetinovic (Khalifa University of Science and Technology, United Arab Emirates)	
Rafael Valencia-Garcia (Universidad de Murcia, Spain)
Alois Zoitl (JKU Linz, Austria)

Received on Thursday, 30 May 2019 18:32:41 UTC