Welcome to "hellowiki"

This Python program was created as part of the “Data Analysis and Visualization” course at Chemnitz University of Technology and is based on my own experience as a literature student in the humanities. I noticed that it can often be very complex to uncover certain properties or overarching connections between fields of knowledge in order to be able to use these later as a basis for further investigations. The Wikifoundation with their pages like Wikipedia, Wikidata, etc. can often provide a first access to these fields of knowledge, but are tied to individual entries per page and the nature of written language. That's why I created this tool for comparing, analyzing and visualizing two Wikidata articles, making it easier and more comprehensive to dive into Wikidata's structured data. Since this is my first Python program and I would like to underline my enthusiasm and fascination for this field of work, I call the program "Hello, Wikipedia!" In particular, this tool makes it possible to identify similarities and differences and to gain insights into the amount of knowledge stored in Wikidata. Whether you're researching, creating educational materials, or simply satisfying your curiosity, the Wikidata tool provides a versatile platform to harness the power of structured data. The tool was written in English and works with the English entries on Wikidata. On the one hand, this is because the internationality and open source idea of the platform should be underlined, and on the other hand, the English data set is the largest.

The data utilized in this tool is sourced from Wikidata, a freely available knowledge base.") Wikidata content is licensed under the Creative Commons Zero (CC0) License, making it effectively public domain and free to use for any purpose, without attribution requirements.") For more details on Wikidata licensing, please refer to: