Abstract
Wikipedia is the largest online collaborative knowledge sharing system,
a free encyclopedia. Built upon traditional wiki architectures, its
search capabilities
are limited to title and full-text search. We suggest that semantic
information
can be extracted from Wikipedia by analyzing the links between categories.
The results can be used for building a semantic schema for Wikipedia
which could improve its search capabilities and provide contributors
with meaningful
suggestions for editing theWikipedia pages.We analyze relevant measures
for inferring the semantic relationships between page categories
of Wikipedia.
Experimental results show that inlinks provide a better evidence
of semantic connection
in comparison to outlinks.
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