This half-day tutorial introduces DBpedia Databus (https://databus.dbpedia.org), a FAIR data publishing platform, to address challenges of data producers and data consumers. The tutorial covers management, publishing, and consumption of data on the DBpedia Databus, with an exclusive focus on Linguistic Knowledge Graphs. The tutorial also offers practical insights for knowledge graph stakeholders, aiding data integration and accessibility in the Linked Open Data community. Designed for a diverse audience, it fosters hands-on learning to familiarize participants with the DBpedia Databus technology.
Requirements:
- Databus Account: Please create a Databus account as it is required for the practical sessions of the tutorial. To create an account, visit https://databus.dbpedia.org and navigate to the “Login” page (click on the Login button located in the top right corner of the page). Then, click on “Register,” fill out the form, and you’re all set!
- Laptop: Please bring your own laptop to the tutorial. It is essential for the practical components of the session.
- Unix-based Operating System: We recommend using a Unix-based operating system such as Linux or macOS for compatibility reasons. If you’re using Windows, you can either set up a Unix-like environment using tools like WSL (Windows Subsystem for Linux) or have a virtual machine running a Unix-based OS.
- Your data: download links, title, abstract, license. If you bring your (meta)data you can publish it during the tutorial on the Databus.
- Docker: Ensure that Docker is installed on your laptop. Docker is a platform for developing, shipping, and running applications using containerization. You can find installation instructions for various operating systems here.
- Git: Git is a distributed version control system that will be used for accessing necessary files and resources during the tutorial. Please ensure that Git is installed on your laptop. Installation instructions can be found here.
Important note: During the tutorial, you may need to install additional packages or run certain tools or servers. Therefore, ensure that you have the necessary permissions to perform such tasks.
Quick Facts
- Web URL: https://lrec-coling-2024.org/tutorials/
- Hashtag: #DBpediaLREC2024
- When: May 20, 2024 (afternoon)
- Where: Lingotto Conference Centre – Torino, Italy
- Registration: https://lrec-coling-2024.org/
Registration / Tickets
Get a ticket via the LREC-COLING website https://lrec-coling-2024.org.
Acknowledgements
Institute for Applied Informatics for supporting the DBpedia Association. | |
OpenLink Software for continuous hosting of the main DBpedia Endpoint. |
Organisation
- Julia Holze, InfAI, DBpedia Association
- Milan Dojchinovski, InfAI, DBpedia Association, CTU
- Sebastian Hellmann, InfAI, DBpedia Association
- Kirill Yankov, Infai, DBpedia Association
Program
Part 1
- 14:00 – 14:05 Intro: Meet and greet, introduction
- 14:05 – 14:15 Session 1: Overview of the DBpedia technology, by Milan Dojchinovski
- 14:15 – 14:40 Session 2: The DBpedia Databus in a Nutshell, by Milan Dojchinovski
- 14:40 – 16:00 Session 3: Your data on the Databus, by Kirill Yankov
16:00 – 16:30 Coffee break
Part 2
- 16:30 – 17:30 Session 4: Usage of the data from the Databus (two use cases), by Kirill Y. and Milan D.
- 17:30 – 17:55 Session 5: CI and Databus publishing using Jenkins, by Kirill Yankov
- 17:55 – 18:00 Closing Session
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