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This post is available only in Italian. Apologizes for the inconvenience. This article is available in italian only, but the presentation is for everybody to enjoy. Between May and June 2010 at Politecnico di Milano the course “Integration and Computational Analysis of Genomic and Proteomic Information” was organized. The course lasted 25 hours. The lectures were Marco Masseroli (Politecnico di Milano), Marco Tagliasacchi (Politecnico di Milano) and me. The course addresses principles, methods, technologies and informatics instruments for the integration and computational analysis of the numerous and different biomedical knowledge data available from various distributed sources. The application aim is leveraging on the integrated analysis of the available scattered, noisy and still partial bio-medical-molecular information to increase their global quality and predictive power in support to the biomedical interpretation of the great amount of genomic and proteomic experimental data increasingly produced. Special attention is devoted to the bio-terminologies and bio-ontologies used to represent the current bio-medical-molecular knowledge about genes and proteins in different organisms; it will be highlighted as their management and analysis with data base, information theory, data mining and other bioinformatics engineering approaches can greatly contribute to increase the available biomedical knowledge and to a better health treatment. Hereafter, you find the slides I presented. On March 15-17 in Genoa the course “Introduction to the development of Semantic Web application for Bioscientists” was organized. The course lasted 20 hours. I lectured it together with Andres Splendiani (Rothamsted Research, Londra) e Paolo Romano (IST, Genova). Hereafter, you find the slides I presented. given the positive trend that Linked Data are riding during last year, several people is asking how to make money from their usage. Scott Brinker defined 15 concrete business models: http://www.chiefmartec.com/2010/03/business-models-for-linked-data-and-web-30.html At TED2009, Tim Berners-Lee called for “raw data now” — for governments, scientists and institutions to make their data openly available on the web. At TED University in 2010, he shows a few of the interesting results when the data gets linked up. 20 years ago, Tim Berners-Lee invented the World Wide Web. Together with many other around the world, he’s building a web for open, linked data that could do for numbers what the Web did for words, pictures, video: unlock our data and reframe the way we use it together. For the last 150 years, The New York Times has maintained one of the most authoritative news vocabularies ever developed. At the ISWC 2009, the New York Times announced it has published 5,000 people subject headings as linked open data under a CC BY license. It provides both RDF documents and a human-friendly HTML versions. Browseing individual data records is now possible; here’s the list of people whose names start with A! The data includes a URI that retrieves all the articles about the individual (it requires API key) and owl:sameAs statements that connect the individual to wikipedia and freebase. While waiting for the recording of the ISWC 2009 session, watch video of the announcement of New Your Tymes linked open data strategy at SemTech 2009. Source: http://data.nytimes.com/
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