Structures of Knowledge from Wikipedia Networks
Authors | Maxime Gabella |
|---|---|
Publication date | 2017 |
Links | Original Preprint |
Structures of Knowledge from Wikipedia Networks - scientific work related to Wikipedia quality published in 2017, written by Maxime Gabella.
Overview
Knowledge is useless without structure. While the classification of knowledge has been an enduring philosophical enterprise, it recently found applications in computer science, notably for artificial intelligence. The availability of large databases allowed for complex ontologies to be built automatically, for example by extracting structured content from Wikipedia. However, this approach is subject to manual categorization decisions made by online editors. Here authors show that an implicit classification system emerges spontaneously on Wikipedia. Authors study the network of first links between articles, and find that it centers on a core cycle involving concepts of fundamental classifying importance. Authors argue that this structure is rooted in cultural history. For European languages, articles like Philosophy and Science are central, whereas Human and Earth dominate for East Asian languages. This reflects the differences between ancient Greek thought and Chinese tradition. Authors results reveal the powerful influence of culture on the intrinsic architecture of complex data sets.
Embed
Wikipedia Quality
Gabella, Maxime. (2017). "[[Structures of Knowledge from Wikipedia Networks]]".
English Wikipedia
{{cite journal |last1=Gabella |first1=Maxime |title=Structures of Knowledge from Wikipedia Networks |date=2017 |url=https://wikipediaquality.com/wiki/Structures_of_Knowledge_from_Wikipedia_Networks}}
HTML
Gabella, Maxime. (2017). "<a href="https://wikipediaquality.com/wiki/Structures_of_Knowledge_from_Wikipedia_Networks">Structures of Knowledge from Wikipedia Networks</a>".
