33 Men: Inside the Miraculous Survival and Dramatic Rescue by Jonathan Franklin

By Jonathan Franklin

On August five, 2010, on the San José mine in northern Chile, 33 males have been entombed 2,300 ft under the earth while a slab of rock the dimensions of a skyscraper sheared off the mountain and sealed close their merely entry to the outside. The miners have been came upon alive 17 days later, and for the subsequent seven weeks after that discovery, as rescuers sought to deliver them to the skin, the eyes of the realm shifted to this formerly vague nook of South the United States. greater than 2,000 reporters and journalists flooded in to hide the drama. yet regardless of around the world curiosity, the media not often delved to both front strains of the rescue or lower than the outside of the tragedy. Locked at the back of police traces, such a lot journalists have been diminished to months of interviewing kinfolk and politicians. in spite of the fact that, award-winning journalist Jonathan Franklin was once the exception.

The print journalist with the main broad entry and contacts, Franklin mentioned, recorded, and filmed from front row of the operation because it spread out and, therefore, was once afforded remarkable and distinct entry to the miners and the rescuers. Now, for the 1st time ever, he tells their complete tale in 33 males: contained in the brilliant Survival and Dramatic Rescue of the Chilean Miners

Franklin's prestige as a "local"--he has lived in Chile for sixteen years, speaks fluent Spanish, and has six daughters along with his Chilean wife--and his 25 years' event as an investigative reporter supplied him entry different reporters may well basically dream of. for nearly six weeks he lived at the hillside that served because the rescue operation's nerve middle. He sat in on making plans conferences, pored over govt records, and recorded periods among the miners and the psychologists charged with taking care of their psychological wellbeing and fitness. He carried out interviews with miners' households, rescue employees, engineers, drill operators, and so forth, together with President Piñera of Chile. Even prior to the miners have been rescued, whereas they have been nonetheless underground, Franklin interviewed them through a makeshift cellphone that attached them to the outside. "I sat during this box the place you'll decide up a mobilephone, dial 11, and the telephone may ring down below," says Franklin, who built this type of bond of belief with the miners that they defined in nice aspect the dramatic first 17 days in their confinement. bring to a halt from the outside...

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This requires re-thinking the current data mining approaches to cope with the challenge of the new representation and semantics. In this work, unsupervised learning is tackled in the context of the standard concept languages used for representing ontologies which are based on Description Logics (henceforth DLs) [1]. In particular, we focus on the problem of conceptual clustering [25] for semantically annotated resources. The benefits of clustering in the context of semantically annotated knowledge bases are manifold.

Then, we compared each outcoming cluster with each class, and assigned it to the best-matching class according to precision and recall. In practice, we found that for each cluster the precision-recall values were neatly high for one class, and considerably low for all the others; moreover, each cluster had a different best-matching class, so that the association and consequent evaluation became straightforward. The clustering procedure was run first on 40 documents randomly selected from the dataset, then on 177 documents and lastly on the whole dataset, in order to evaluate its performance behaviour when takling increasingly large data.

The overall results show that the proposed method is highly effective since it is able to autonomously recognize the original classes with precision, recall and purity (Pur) well above 80% and, for larger datasets, always above 90%. This is very encouraging, especially in the perspective of the representation-related difficulties (the lower performance on the reduced dataset can probably be explained with the lack of sufficient information for properly discriminating the clusters, and suggests further investigation).

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