UMBC ebiquity
2013 February

Archive for February, 2013

How many #ifihadglass posts were there?

February 28th, 2013, by Tim Finin, posted in Gadgets, Mobile Computing, Wearable Computing

UMBC CSEE department members submitted a number of #ifihadglass posts hoping to get an invitation to pre-order a Google Glass device. Several came from the UMBC Ebiquity Lab including this one that builds on our work with context-aware mobile phones.

Reports are that as many as 8,000 of the submitted ideas will be invited to the first round of pre-orders. To get a rough idea of our odds, I tried using Google and Bing searches to estimate the number of submissions. A general search for pages with the #ifihadglass tag returned 249K hits on Google. Of these 21K were from twitter and less than 4K from Google+. I’m not sure which of the twitter and Google+ posts get indexed and how long it takes, but I do know that our entry above did not show up in the results. Bing reported 171K results for a search on the hash tag, but our post was not among them. I tried the native search services on both Twitter and Google+, but these are oriented toward delivering a stream of new results and neither gives an estimate of the total number of results. I suppose one could do this for Twitter using their custom search API, but even then I am not sure how accurately one could estimate the total number of matching tweets.

Can anyone suggest how to easily estimate the number of #ifihadglass posts on twitter and Google+?

What will replace Big Data as a hot buzzword?

February 3rd, 2013, by Tim Finin, posted in Machine Learning, Semantic Web

The popular KDnuggets news site for analytics, data mining and data science asked their visitors “What will replace “Big Data” as a hot buzzword?” and the most popular choice was “smart data”. I’m not sure what people meant by that, but can only imagine that it includes data that have explicit or implicit semantics and are annotated with metadata like temporal qualifications, provenance and certainty factors. These are all capabilities of current semantic web technologies, especially when coupled with machine learning for additional inference.

(h/t Kingsley Idehen)

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