Week 11: Wikidata - The Transformation from "Narrative" to "Structure"-------MUYE

 1) Read the summary

This week we entered the world of "Wikidata" and learned how this structured knowledge base supports multilingual information synchronization, machine reading and automatic data updates. Unlike the text-based Wikipedia, Wikidata expresses knowledge in the form of triples (subject-predicate-object) using "items" as units. This logic provides a solid foundation for the development of AI and semantic networks.


2) Interesting discoveries

Wikidata has greatly enhanced the "machine friendliness" of knowledge systems, but it has also triggered some philosophical reflections. It emphasizes "the assertion of facts" rather than "the elaboration of viewpoints". This means that complex social phenomena, cultural backgrounds, semantic ambiguity and other contents are often difficult to express in Wikidata. For instance, in the Wikidata item of the entry "Chinese Culture", there is almost no multi-dimensional content such as cultural differences and historical evolution. There are only simple classifications and links.


3) Discussion perspective

I would like to explore: Will Wikidata promote the trend of "standardization" of knowledge, thereby excluding those knowledge that are not easy to structure? In the future, if AI and search engines mainly rely on Wikidata to understand the world, will the richness and diversity of knowledge be further weakened? How can we strike a balance between automation and humanistic narration?

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