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data visualizing academic lak11 week6

Tim Berners-Lee suggested a 5-star deployment scheme for Linked Open Data and Ed Summers provided a nice rendering of it. In the following, examples are given for each level.

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For the past several years, EDUCAUSE publications have described the emergence of two complementary forces: (1) the growth of “academic analytics” in higher education and the knowledge services needed to support seamless sharing and leveraging of contextualized data/information; and (2) the escalating accountability demands that are driving performance measurement and improvement initiatives. These forces converged in the July/August 2007 issue of EDUCAUSE Review, which showcased their potentially transformative impacts on higher education

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lak11 week3 semanticweb

Last week ReadWriteWeb asked: “Is Linked Data Gaining Acceptance?” Our answer: definitely yes. Projects like DBPedia, a community effort to structure the information from Wikipedia and provide it as Linked Open Data, have come a long way and work really well. For example, you can search for all scientists born in Zürich, Switzerland.

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Ah… the semantic web. The saviour of the internet, and the evil empire enforcing its evil standardization upon my freedom. I’ve always been a little suspicious of this particular topic. Not that I’m opposed to any kind of stardardization, railroads and the lack of standardizations with bank cards at grocery stores come to mind (grrr…) But the semantic web and how data is ‘linked’ is pretty important to analytics. time to dive in.

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The father of the World Wide Web, Tim Berners-Lee defines the Semantic Web as “a web of data that can be processed directly and indirectly by machines.”

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After visualizing chat room dialogue earlier this week, I thought it might be neat to try and visualize some Twitter dialogue from the #LAK11 course.  For some reason I thought it would be simple to extract tweets from Twitter for analysis.  It wasn’t!  So if you happen to know an easier way please leave a comment.

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