It’s been 20 years since Internet search was “born,” and searching the Web is still pretty much the same as it was in 1995. Dubious sources of information are not weighted to be “worse” than accurate sources. If they’re “popular,” Google even weights them more favorably. Image and video searches
Our society’s move to digital has given rise to enormous uncertainty in legal quarters. Specifically, the ownership of information has never been more unclear at a time when we’re inundated with ever-increasing volumes of data. We got into this situation because of: the assertion of private rights over public data
For all the talk about the value of accurate data, few of us are making the effort to calculate the true and total cost of keeping data up-to-date and making it ever richer. Real-time updates, data overlays, metadata appends and other improvements cost time and money. How can we be
What happens when you have more metadata for a database record than there are fields of data in the original record itself? If you’re like almost every other company in the world you don’t have to imagine this scenario. It’s a reality you’ve lived with for quite some time. Every
At IEI, we’re intimately familiar with the “demand side” of public information. It’s rare, though, that we get a glimpse of the issues facing public sector managers on the front lines of supplying that information. That’s just what we got when we were asked to participate in the City of
The open data movement is a juggernaut. In the years since the Freedom of Information Act, citizens have come to expect access to public information of all kinds in the easiest, fastest possible way. At first, federal government agencies struggled to make their information available to the public. Data was
As the information industry continues to evolve, we at IEI are convinced that crowdsourced updating will play an ever larger role in its underlying foundation. No longer will databases languish waiting for periodic updates. Rather, they will be constantly updated via a combination of user feedback, event-driven triggers, and crowdsourced
Two groups of data professionals did a deep dive into the many issues surrounding the mining, organizing, and presenting data on February 24th at the University of Texas at Austin’s School of Information (the UT iSchool). Iron Mountain sponsored and moderated the event. The opening panel on Data Wrangling discussed
Every information service wants their content to be discovered on the Internet and billions have been made serving that need. Lately there’s been a lot of talk about the “data discovery” technology that powers services like Outbrain, Taboola, nRelate (IAC), Gravity (AOL), Disqus, Scribol, and ShareThrough. Using a combination of
Once upon a time the Internet was a place where humans went to look at “pages” of content. These days, however, more “machines” than humans are using the web and many of these little machines are powered by our partner Connotate. Connotate’s “Agents” keep track of billions of price changes,
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