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Bueda increases the value of rich media and user-generated content via its innovative semantic analysis engine. Leveraging research from Carnegie Mellon University’s Language Technologies Institute, Bueda combines user-generated tags, existing ontologies, and semantic analysis in order to provide publishers with actionable information that can be used for content categorization, targeted advertising, content recommendation and search engine optimization. Via Bueda’s API, any UGC website can have access to the latest technology for tag disambiguation and cleanup with minimal integration hurdles.
Tags are increasingly used to organize user generated content. They give the users the freedom to tag their content with the words that make sense to them making it easier to find their own content. Unfortunately, different words are used for the same things and it is very common to find tags that are missing spaces, have typos, and are redundant or not informative. A publisher with tags of this sort is unable to connect content properly or target advertising effectively. Tags enriched by Bueda can provide not only a better overall user experience but can increase revenue generated from user content.
The Bueda API can transform noisy and redundant tags into back clean, normalized tags, with a breakdown of the semantic concepts represented in the tags. This means that your users still have the freedom of tags, and you still get the benefits of neatly categorized and curated content.
The result is happier users, a better user experience and more revenue.
The Bueda API is currently in private beta.
You can find all the info and even a demo at the Bueda website: http://www.bueda.com
Tags: initiative, ontologies, tagging
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