  The frequency of a web search keyword generally reflects the degree of public
interest in a particular subject matter. Search logs are therefore useful
resources for trend analysis. However, access to search logs is typically
restricted to search engine providers. In this paper, we investigate whether
search frequency can be estimated from a different resource such as Wikipedia
page views of open data. We found frequently searched keywords to have
remarkably high correlations with Wikipedia page views. This suggests that
Wikipedia page views can be an effective tool for determining popular global
web search trends.
