[ontolog-forum] Combining Machine Learning, Ontologies, Semantic Network

[Ali SH <asaegyn+out@xxxxxxxxx>]

This is a cool little project:

http://www.technologyreview.com/news/510191/software-predicts-tomorrows-news-by-analyzing-todays-and-yesterdays/

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The system provides striking results when tested on historical data. For example, reports of droughts in Angola in 2006 triggered a warning about possible cholera outbreaks in the country, because previous events had taught the system that cholera outbreaks were more likely in years following droughts. A second warning about cholera in Angola was triggered by news reports of large storms in Africa in early 2007; less than a week later, reports appeared that cholera had become established. In similar tests involving forecasts of disease, violence, and a significant numbers of deaths, the system’s warnings were correct between 70 to 90 percent of the time.

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The system was built using 22 years of New York Times archives, from 1986 to 2007, but it also draws on data from the Web to learn about what leads up to major news events.

“One source we found useful was DBpedia, which is a structured form of the information inside Wikipedia constructed using crowdsourcing,” says Radinsky. “We can understand, or see, the location of the places in the news articles, how much money people earn there, and even information about politics.” Other sources included WordNet, which helps software understand the meaning of words, and OpenCyc, a database of common knowledge.

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Best,

Ali

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