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An automatic approach to Telefónica’s use case in the INSEMTIVES project: http://www.insemtives.eu/case_studies.php
According to this article: “We have used a sophisticated array of AI/Machine Learning systems in combination with statistical methods, background knowledge and expert defined rules engines, to create, entirely automatically, a structured database with high quality information. The example we have produced contains structured company records and fields for over 2 million IT and telecoms companies using data taken from their websites.”
You can read the whole article here: http://semanticweb.com/automatically-structuring-unstructured-corporate-websites-for-producing-a-company-search-engine_b10713
Apart from the expert’s involvement when creating rules for knowledge extraction, can the final users really be ignored or taken out of the loop when structuring unstructured corporate websites? Post your comment below 
Historically, TV metadata has been used to supply Electronic Programme Guides (EPGs) and therefore has been adequate for description at a show level. Typically when the industry talks about TV metadata, they talk about snippets of information and images provided by companies such as Rovi and Gracenote that can be used for the descriptive editorial information, images and multimedia on one show as a whole.
Tagging: People-Powered Metadata for the Social Web
GreenGoose add game mechanics to real life. They provide wireless sensors that have a battery inside which lasts a year. Each one measures a different thing you do, but they all communicate with the same egg-sized base-station. Just stick to items like pet food scoops, frisbees and water bottles.
Make playtime more about playing together. Sensors on toys make it fun to share and make new friends.