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February 20, 2015

5 Good Reads in Big Open Data: Feb 20 2015

A thriving ecosystem is the key for real viability of any technology. With lots of eyes on the prize, the technology becomes more stable, offers more capabilities, and importantly, supports greater interoperability across technologies, making it easier to adopt and use, in a shorter amount of time. By creating a formal organization, the Open Data Platform will act as a forcing function to accelerate the maturation of an ecosystem around Big Data.
Common Crawl Foundation
Common Crawl Foundation
Common Crawl - Open Source Web Crawling data‍
  1. Why The Open Data Platform Is Such A Big Deal for Big Data– via Pivotal P.O.V:
  2. A thriving ecosystem is the key for real viability of any technology. With lots of eyes on the prize, the technology becomes more stable, offers more capabilities, and importantly, supports greater interoperability across technologies, making it easier to adopt and use, in a shorter amount of time. By creating a formal organization, the Open Data Platform will act as a forcing function to accelerate the maturation of an ecosystem around Big Data.
  3. Machine Learning Could Upend Local Search -via Streetfight: From the Chairman of Common Crawl’s Board of Directors (and Factual CEO) Gil Elbaz on the future of search
  4. On opening up libraries with linked data – via Library Journal: While the rest of the web is turning into the “Web of Data,” libraries and catalogs  are (partially for reasons for a closed culture) struggling to keep up
  5. Interactive map: where are we driving, busing, cabbing, walking to work? via Flowing Data:
Interactive: How Americans Get to Work
Image via Flowing Data
  1. On the ongoing debate over the possible dangers of Artificial Intelligence– via Scientific American:
  2. Current efforts in areas such as computational ‘deep-learning‘ involve algorithms constructing their own probabilistic landscapes for sifting through vast amounts of information. The software is not necessarily hard-wired to ‘know’ the rules ahead of time, but rather to find the rules or to be amenable to being guided to the rules – for example in natural language processing. It’s incredible stuff, but it’s not clear that it is a path to AI that has equivalency to the way humans, or any sentient organisms, think. This has been hotly debated by the likes of Noam Chomsky(on the side of skepticism) and Peter Norvig (on the side of enthusiasm). At a deep level it is a face-off between science focused on underlying simplicity, and science that says nature may not swing that way at all.

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