Is developing mash-ups with Web 2.0 really much easier than using Semantic Web technologies? For instance, given a music style as an input, what it takes to retrieve data from online music archives (MusicBrainz, MusicBrainz D2R Server, MusicMoz) and event databases (EVDB)? What to merge them and to let the users explore the results? Are Semantic Web technologies up to this Web 2.0 challenge? This half-day tutorial shows how to realize a Semantic Web Application we named Music Event Explorer or shortly meex (try it!).
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Synesketch is a software library (Java API) for sensing and creative visualization of textual emotions. 
According to the project’s WIKI, Synesketch
is a result of a research that spreads out through several diverse fields – from natural language processing techniques based on WordNet, across Ekman’s research of emotions, to color psychology, visual design, data visualizations, and affective computing. Graphics were done by Processing, a great tool for programming visual art
uses a WordNet-based lexicon of words with emotional weights, and several NLP heuristic rules (e.g. emotional intensity of a sentence with emotional words is proportional to the number of exclamation marks at the end of the sentence). The algorithm transfers a (presumably small) chunk of text (e.g. basic unit of text in a chat conversation) into several emotional parameters … which defines emotional content of the text.
The main goal of Fusion Tables is to make it easier for people to create, manage and share on structured data on the Web. Fusion Tables is a new kind of data management system that focuses on features that enable collaboration. [] In a nutshell, Fusion Tables enables you to upload tabular data (up to 100MB per table) from spreadsheets and CSV files. You can filter and aggregate the data and visualize it in several ways, such as maps and time lines. The system will try to recognize columns that represent geographical locations and suggest appropriate visualizations. To collaborate, you can share a table with a select set of collaborators or make it public. One of the reasons to collaborate is to enable fusing data from multiple tables, which is a simple yet powerful form of data integration. If you have a table about water resources in the countries of the world, and I have data about the incidence of malaria in various countries, we can fuse our data on the country column, and see our data side by side.
Read more here http://googleresearch.blogspot.com/2009/06/google-fusion-tables.html
Check out an application of Fusion Tables here http://www.circleofblue.org/waternews/2009/world/google-brings-water-data-to-life/
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The main goal of Fusion Tables is to make it easier for people to create, manage and share on structured data on the Web. Fusion Tables is a new kind of data management system that focuses on features that enable collaboration. [] In a nutshell, Fusion Tables enables you to upload tabular data (up to 100MB per table) from spreadsheets and CSV files. You can filter and aggregate the data and visualize it in several ways, such as maps and time lines. The system will try to recognize columns that represent geographical locations and suggest appropriate visualizations. To collaborate, you can share a table with a select set of collaborators or make it public. One of the reasons to collaborate is to enable fusing data from multiple tables, which is a simple yet powerful form of data integration. If you have a table about water resources in the countries of the world, and I have data about the incidence of malaria in various countries, we can fuse our data on the country column, and see our data side by side.
Read more here http://googleresearch.blogspot.com/2009/06/google-fusion-tables.html
Check out an application of Fusion Tables here http://www.circleofblue.org/waternews/2009/world/google-brings-water-data-to-life/
Seco on LinkedIn
