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OMILAB@University of Vienna

"Knowledge-based methods and technologies for digitalization"

The OMILAB Node at the University of Vienna is a space to collaborate, innovate and engineer. Both a physical and virtual place, it is equipped with tools to explore method creation and design, experiment with method engineering and deploy software tools for modelling.

The work accomplished by the OMiLAB Vienna Node provides novel research results in the areas of Meta-Modelling, Semantic Technologies, Hybrid Method Engineering and Intelligent and Agile Agents.

About the OMILAB Node

The Vienna Node is a space to collaborate, innovate and engineer. Both a physical and virtual place, it is equipped with tools to explore method creation and design, experiment with method engineering and deploy software tools for modelling. The dissemination of established know-how, the exploitation of recent research results and their further development assure a sustainable impact on the community.

The Agile Modelling Method Engineering Framework is one of the core knowledge resources provided by the OMiLAB Vienna Node. Design Thinking is another valuable expertise of the node, enhanced by the development of the Scene2Model tool.

The work accomplished by the OMiLAB Vienna Node provides novel research results in the areas of Meta-Modelling, Semantic Technologies, Hybrid Method Engineering and Intelligent and Agile Agents.

Competences

• Meta-modelling
• Modelling Tool Engineering
• Digital Twin
• Agile Modelling Method Engineering

About the Hosting Organisation

The main research goal of the RG Knowledge Engineering is to provide transparent, ubiquitous knowledge that can be semantically processed by IT systems. In the context of international cooperation, the group provides research-guided teaching on an advanced scientific level with practical relevance mainly in the area of business informatics. The University of Vienna has more than 650 years of academic excellence, being one of the oldest higher education institutions in Europe. Nine scientists associated with the University of Vienna, through either research or teaching, have been awarded the most prestigious distinction in science: the Nobel Prize. Currently, the university has 15 faculties and 5 centres, a total of 9.900 employees and 88.000 students across 178 different study programs.

• Impressions
• Activities
• Results
• Resources
• Publications

Impressions

Have a virtual look at the OMiLAB!

Results

Get an overview what this OMiLAB has accomplised! Selected results are presented below as a contribution to the global community:

Bee-Up for Education

Details

Scene2Model Modelling Toolkit

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OMiLAB-Rob Experiments

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MM-DSL Toolkit

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Pro-Vis

Details

All further results of the OMiLAB Node are via the organizer.

Activities

The following, selected activities are organized by the OMiLAB.

NEMO Summerschool

The NEMO Summer School Series focuses on addressing these challenges through modelling, both in theory and practice. How to define modelling with the ‘right’ level of abstraction and how to engineer suitable modelling tools is at the heart of the summer school.

 https://nemo.omilab.org

Domain-Specifc Conceptual Moodelling for Analysing Complex Digital Environments - An IoT-based Smart City Case

The emerging progress in information systems, as currently experienced in many aspects of todays society improves the lives of many people. New trends like Industry 5.0, Society 5.0, Artificial Intelligence (AI), Internet of Things (IoT), and many more impact different aspects of both personal and work life and facilitate the usage of information technology in various application domains. The smart city is one concept that is built on this emerging progress in information systems. These kinds of systems often come with increased complexity. This directly influences the understanding, planning, design, implementation, and continuous improvement of information systems in such complex domains. Conceptual modelling is one way to handle such complexity, as it aims at applying abstraction, to only capture the necessary knowledge of an existing or planned system in an interpretable and understandable form. This added value is further utilized by using computer-aided modelling tools to create, analyze and process the conceptual models, hence enabling model value. Within this project, a domain-specific conceptual modelling method, called DeViLL (Delta Visual Language and Logic), will be created. DeViLL will be based on process algebra to model distributed and mobile IoT systems with spatial and temporal restrictions. To further facilitate the added value of the modelling method, an industry-proven platform will be used to implement a computer-aided modelling tool. The tool will support the creation of diagrammatic models, enable their analysis, and allow for model-value functionality processing. A case study based on a smart city scenario will be used for the evaluation of the modelling method and tool and the information systems designed with it. The testing environment is an instance of the Digital Innovation Environment (DIEn) provided by OMiLAB. This is a research project between the OMiLAB@UNIVIE and OMiLAB@Chonbuk National University funded by the OeAD in the project call WTZ.

 

DigiFoF Project

The DIGIFOF project proposes a network of training environments where HEIs, enterprises and training insitutions come together to develop skill profiles, training concepts as well as materials for design aspects of the Factory of the Future (FoF).

 https://digifof.eu/

Resources

The following cyber-physical resources are available at the OMILAB node:

Dobot Magician

The Dobot Magican demonstrates sorting and collaborative scenarios.

Makeblock mBot

This CPS is applied for smart mobility application scenarios.

Makeblock mBot Rover

The Rover provides additional sensors and a different operational setup, compared to the mBot Classic.

Mecanum wheel

A large mobile robot that demonstrates loading/unloading mechanisms as well as novel turning capabilities.

BeeBop Drone

Controlling a drone using models? Application scenarios from follow-me and smart tourist guides are realized using this CPS.

NAO

This humanoid robot provides demonstration capabilities for human-machine interaction. The OMiLAB node has two NAOs available for collaborative scenarios.

DrawBot

For design thinking scenarios, this CPS enables remote white-boarding.

Publications

Relevant publications of the OMILAB node:

Karagiannis, D., Mayr, H. C., & Mylopoulos, J. (2016). Domain-specific conceptual modeling - Concepts, methods and tools. Springer, Cham. https://doi.org/10.1007/978-3-319-39417-6.

Karagiannis D., Buchmann R.A., Burzynski P., Reimer U., Walch M. (2016) Fundamental Conceptual Modeling Languages in OMiLAB. In Karagiannis D., Mayr H., Mylopoulos J. (eds) Domain-Specific Conceptual Modeling. Springer, Cham. https://doi.org/10.1007/978-3-319-39417-6_1

Götzinger D., Miron ET., Staffel F. (2016) OMiLAB - An Open Collaborative Environment for Modeling Method Engineering. In Karagiannis D., Mayr H., Mylopoulos J. (eds) Domain-Specific Conceptual Modeling. Springer, Cham. https://doi.org/10.1007/978-3-319-39417-6_3

Christian Muck et al. (2018) Supporting Service Design with Storyboards and Diagrammatic Models - The Scene2Model Tool in Proceedings of the Joint International Conference of Service Science and Innovation (ICSSI 2018) and Serviceology (ICServ 2018), Taichung, Taiwan, 2018, 389–396, https://eprints.cs.univie.ac.at/5936/

Karagiannis D. (2018) Conceptual Modelling Methods - The AMME Agile Engineering Approach. In Karagiannis D., Lee M., Hinkelmann K., Utz W. (eds) Domain-Specific Conceptual Modeling. Springer, Cham. https://doi.org/10.1007/978-3-030-93547-4_1

Elena-Teodora Miron, Christian Muck, and Dimitris Karagiannis (2019) Transforming Haptic Storyboards into Diagrammatic Models - The Scene2Model Tool, Hawaii International Conference on System Sciences 2019, 541–550.

Elena-Teodora Miron et al. (2019) OMiLAB-Node Vienna at the Research Group Knowledge Engineering, University of Vienna in Proceedings of 40 Years EMISA, ed. Agnes Koschmider and M. Weidlich, Digital Ecosystems of the Future - Methodology, Techniques and Applications (Tutzing am Starnberger See, Germany, Gesellschaft für Informatik e.V., 2019), 169–174, https://ke.cs.univie.ac.at/research/publications/publication/6133/.

Dimitris Karagiannis et al. (2020) OMiLAB - A Smart Innovation Environment for Digital Engineers (Presented at the PRO-VE 2020, 21st IFIP/SOCOLNET Working Conference on Virtual Enterprises, Valencia, Spain, 2020), https://link.springer.com/chapter/10.1007/978-3-030-62412-5_23.

Karagiannis, D., Moonkun L., Hinkelmann K. & Utz W. (2022). Domain-specific conceptual modeling - Concepts, methods and ADOxx tools. Springer, Cham. https://doi.org/10.1007/978-3-030-93547-4

The OMiLAB Community. (2022). Development of Conceptual Models and Realization of Modelling Tools Within the ADOxx Meta-Modelling Environment - A Living Paper. In Karagiannis, D., Lee, M., Hinkelmann, K., Utz, W. (eds) Domain-Specific Conceptual Modeling. Springer, Cham. https://doi.org/10.1007/978-3-030-93547-4_2

Vaidian, I., Jurczuk, A., Misiak, Z., Neidow, M., Petry, M., Nemetz, M. (2022). Challenging Digital Innovation Through the OMiLAB Community of Practice. In Karagiannis, D., Lee, M., Hinkelmann, K., Utz, W. (eds) Domain-Specific Conceptual Modeling. Springer, Cham. https://doi.org/10.1007/978-3-030-93547-4_3

Döller, V., Götz, S. (2022). Tree Diagrams and Unit Squares 4.0 - Digitizing Stochastic Classes with the Didactic Modeling Tool PROVIS . In Karagiannis, D., Lee, M., Hinkelmann, K., Utz, W. (eds) Domain-Specific Conceptual Modeling. Springer, Cham. https://doi.org/10.1007/978-3-030-93547-4_21

Muck, C., Palkovits-Rauter, S. (2022). Conceptualizing Design Thinking Artefacts - The Scene2Model Storyboard Approach. In Karagiannis, D., Lee, M., Hinkelmann, K., Utz, W. (eds) Domain-Specific Conceptual Modeling. Springer, Cham. https://doi.org/10.1007/978-3-030-93547-4_25

Christian Muck et al. (2022) Citizens as Developers and Consumers of Smart City Services - A Drone Tour Guide Case in Companion Proceedings of the Web Conference 2022 (WWW22 Companion, Lyon, France, ACM, 2022)

Dimitris Karagiannis, Robert Andrei Buchmann, and Wilfrid Utz (2022) The OMiLAB Digital Innovation Environment - Agile Conceptual Models to Bridge Business Value with Digital and Physical Twins for Product-Service Systems Development, Computers in Industry 138 (2022), 103631, https://linkinghub.elsevier.com/retrieve/pii/S0166361522000264.