News organizations are a prime candidate for the implementation of semantic technologies, but they also pose some of the most interesting challenges to semantic web professionals. After all, the news is dynamic — it’s happening right now, all around the world, and the same events are being reported on by an ever growing number of publishers in countless languages. The information contained within “the news” is an ever expanding glob that can’t be contained, so how can any organization hope to each even a semblance of organization?
For Gannett, the answer to that question is autotagging. With the help of Dan Segal, a Senior Taxonomist at Marcinko Enterprises, Gannett has been working to semantically categorize and tag their stockpile of information from their 82 US daily newspapers and 23 television stations, not to mention all of the breaking stories that add to that heap every day. Needless to say, tagging the news isn’t exactly an easy quest, but Gannett has several very good reasons to try. Read more