Parse.ly Brings A Dash of Semantics To Online Publishers
Online publishers and other content providers have a new analytics tool to help them understand what their readers care about and use that information to better connect them to their sites’ relevant and compelling content. Launching today is Dash, based on the predictive content analytics platform Parse.ly. The technology crawls every article page for Parse.ly’s publisher-partners, and analyzes, in real time and at scale, the text to identify relevant topics to group related content together. Behind this lies natural language processing technology, which uses language queues hidden inside the text to determine its affiliated topics. To date Dash has extracted over 350,000 unique topics through all the URLs is has crawled during private beta for a healthy taxonomy of topics across the web being consumed by users.






Given the Web’s impact on their business model and their revenues, you can forgive publishers if they might prefer if the darn Internet just stood still for a few minutes and let them catch their breaths and catch up. Since that isn’t about to happen, the thing to do is to make peace with those changes, many of them thanks to Semantic Web technologies – and figure out fast how they’re going to profit from them.

Aditya Kalyanpur, research staff member for IBM Research will lead a session entitled “

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