The COBOT use case is concerned with the challenge of low utilization and limited awareness of manufacturing technology in the Aspern pilot factory, which is an Austrian learning and experimentation facility. The factory provides access to a range of industrial machines, including collaborative robots. However, the detailed capabilities of these robots are unknown to potential users due to factors such as limited public availability, contextual dependence, and continuous evolution.

To tackle this issue, we proposed an exploratory search system that allows students, researchers, and companies to explore and learn about the available equipment.

Components of the knowledge graph:

• COBOT ontology
• COBOT data from stakeholder interviews and scraping of public data sources
• STAR1 ontology about software architectural knowledge
• STAR1 data from the central knowledge management system of a software engineering company

Source code of the prototype:

• Middleware: khaller93/es-middleware
• Web application: khaller93/es-web-app

To clone the repository and its submodules, use the following command:

git clone --recursive https://github.com/khaller93/cobot-playground

If you've already cloned the repository and want to load its submodules, use the following commands:

git submodule init
git submodule update

docker-compose up

Then, the web application is available at http://localhost:9080.

docker-compose -f docker-compose.db.yml up

Then, the triplestore is available at http://localhost:7280.

If you make use of this work, please cite the following.

@inproceedings{Haller2022,
  author    = {Kevin Haller and
               Fajar J. Ekaputra and
               Marta Sabou and
               Florina Piroi},
  title     = {Enabling Exploratory Search on Manufacturing Knowledge Graphs},
  booktitle = {Proceedings of the Seventh International Workshop on the Visualization
               and Interaction for Ontologies and Linked Data co-located with the
               21st International Semantic Web Conference {(ISWC} 2022), Virtual
               Event, Hangzhou, China, October 23, 2022},
  series    = {{CEUR} Workshop Proceedings},
  volume    = {3253},
  pages     = {16--28},
  publisher = {CEUR-WS.org},
  year      = {2022},
  url       = {http://ceur-ws.org/Vol-3253/paper2.pdf},
}

• Kevin Haller - [email protected]