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This paper presents an approach for automating semantic annotation within service-oriented architectures that provide interfaces to databases of spatial-information objects. The automation of the annotation process facilitates the transition from the current state-of-the-art architectures towards semantically-enabled architectures. We see the annotation(More)
In many machine learning problem domains large amounts of data are available but the cost of correctly labeling it prohibits its use. This paper presents a short overview of methods for using a small set of labeled data together with a large supplementary unlabeled dataset in order to learn a better hypothesis than just by using the labeled information.
In many machine learning problem domains large amounts of data are available but the cost of correctly labelling it prohibits its use for model training. For us especially relevant are large quantities of raw information available on the internet that present an interesting challenge of how to successfully exploit information hidden within it without first(More)
WINTER 2015 87 The Internet has been strongly gaining prominence as a news medium; in 2012, it overtook the TV as the most used news source for people under 30 in the United States (Kohut 2013). In addition, it has significantly changed the way in which many people find and consume news. Multiple publishers are now reachable more easily than ever before.(More)
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