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Category Systems & Protegè / Terminology / Protege

Protege is a versatile software widely used in the world of knowledge representation and ontology development. It is designed to help researchers, data scientists, knowledge managers and ontology experts create, manage and analyze ontologies and knowledge graphs. 

Installation on Windows:

1: Visit the official Protege website at https://protege.stanford.edu/.
2: Click on the "Download" button to go to the download page.
3: Select the desired version of Protege. The latest version is usually recommended.
4: Download the Windows installation file (usually an .exe file).
5: Run the downloaded file and follow the instructions in the installation wizard.
6: Once the installation is complete, you can open Protege via the Start menu or the shortcut on your desktop.

Installation on Mac:

1: Visit the official Protege website at https://protege.stanford.edu/.
2: Click on the "Download" button to go to the download page.
3: Select the desired version of Protege. The latest version is usually recommended.
4: Download the Macinstallation file (usually an .dmg file).
6: Drag the Protege logo to the Applications folder to complete the installation.
7: Once the installation is complete, you can open Protege via the Launchpad or the application menu.

Installation on Linux:

1: Visit the official Protege website at https://protege.stanford.edu/.
2: Click on the "Download" button to go to the download page.
3: Select the desired version of Protege. The latest version is usually recommended.
4: Download the Linux installation package. It could be a .tar.gz or .zip archive.
5: Extract the contents of the archive to a directory of your choice.
6: In the terminal, navigate to the directory where you extracted the files.
7: Run the start script, usually with the command ./run.sh, to start Protege.
 You are welcome to explore the program yourself, read the documentation ( https://protegeproject.github.io/protege/ ) or use the link-sensitive graphics to familiarize yourself with the program. Alternatively, you can skip to the task on the next page if you only want to learn what you need in the task. Although there are also Protegé tutorials on popular video platforms, please bear in mind that these require a higher level of IT knowledge.

Task

In the following task, you will import and explore an ontology in Protegé. Please download the file CRM_core.owl for this purpose. CIDOC-CRM is an ontology for information integration in the field of cultural heritage.
To import the ontoloy into Protegé you have to click on "File" on the upper menu band and select "Open". Then find the file in your File System and click on
Change from the Active Ontology Tab to the Entities Tab. Here you find the Class hierarchy Tree:
Here you can see the classes of the ontology as a tree structure. You can expand this tree structure by clicking on the arrow to the left of an entry. You can select an entry by clicking on it; it remains selected even if you change the view. With the three icons above the field you can 1. add entries on the same level, 2. add entries below the current entry or 3. remove entries.
To the right of the icons, you can switch between Asserted and Infeered. This setting relates to two basic functions of the program. In Protegé, you can either specify classes, properties and their relationship to each other yourself - asserted - or you can select a reasoner, a program that can draw its own conclusions (inferences) from the specified classes, properties and relationships using logical rules. If you select Inferred at this point in the class hierarchy, only the classes that have been automatically created by a reasoner are displayed.
Please explore the Class hierarchy Tree. In the Group window in the right side you find the tab Usage in which under rdfs:comment the usage of the class is definded.
Try and think how you would classify the entity "Georg-August University of Göttingen". Make a post in the forum in which you state the class and argue why you would classify the entity in that way. HINT: There is more than one possible answer.