One of the most difficult tasks in NLP is called relation extraction.
A relation is a semantic connection between (at least) two entities.
The goal of relation extraction is to learn relations from unstructured natural language text.
Value and economics of information (infonomics)
Why should and how can we inventory, measure and quantify their information assets?How can information’s value be used to justifying and gauge the ROI of information-related initiatives, as well as other IT and business initiatives?How can we manage information as an actual corporate asset?
See on blogs.gartner.com
Crisis mapping is the use of real-time crowdsourced crisis event data, satellite images, data visualization, data modeling, and web-based applications to develop early warning and response systems for use in crisis events world-wide.
See on smartdatacollective.com
The n-gram approach to language modeling (predicting the next word based on the previous n-1 words) is particularly well-suited to such large amounts of data: it scales gracefully, and the non-parametric nature of the model allows it to grow with more data.