Creative Knowledge Discovery by Literature Outlier Detection
published: Oct. 20, 2009, recorded: September 2009, views: 242
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
This paper investigates the role of outliers in literature-based knowledge discovery. It shows that detecting interesting outliers that appear in the literature about a given phenomenon can help generate novel plausible scientific hypotheses. The underlying assumption is that whereas the majority of domain literatures describe matters related to common understanding of the domain, some particular observations that appear rarely in the literature can indicate a promising direction towards novel discoveries. This rarity principle is used in our method called RaJoLink to guide the knowledge discovery process. The presented method focuses on the role of outliers in the closed discovery process as implemented in the RaJoLink literature mining methodology.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !