Posts Tagged ‘crowd sourcing’

Tagging the Visual Web: Visual Media Doesn’t Have To Be Dumb Anymore

Instagram. Tumblr. Pinterest. The web in 2012 is a tremendously visual place, and yet, “visual media still as dumb today as it was 20 years ago,” says Todd Carter, founder and CEO of Tagasauris.

It doesn’t have to be that way, and Tagasauris has put its money on changing the state of things.

Why is dumb visual media a problem, especially at the enterprise-level? Visual media, in its highly un-optimized state, hasn’t been thought of in the same way that companies think about how making other forms of data more meaningful and reasonable can impact their business processes. A computer’s ability to assess image color, pattern and texture isn’t highly useful in the marketplace, and as a result visual media has “just been outside the realm of normal publishing processes, normal workflow processes,” Carter says. Therefore, what so many organizations – big media companies, photo agencies, and so on –  would rightly acknowledge to be their treasure troves of images don’t yield anywhere near the economic value that they can.

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Military Friendly Employers Search Site Latest To Leverage Technology That Culls Meaning From The Crowd

With Veteran’s Day upon us, Victory Media has unveiled its new Military Friendly Employers search site, which provides a way for service members to search, sort, compare, and find a Top 100 Military Employer from nationally ranked companies. Some 16,000 facts – percentage of military that makes up new hires at a firm, support for part-time spouse employment during deployment, assurance of having the same position upon return, full salary for duration of Guard and Reserve duty, and more – feed these searches to point military personnel to the companies whose practices and policies are a fit for them.

Victory Media has been publishing the list since 2003, but this year searching through it is powered by WebKite’s content management platform. Military Friendly Employers is one of about a dozen sites using the company’s technology. It’s not semantic web search, but it is about adding contextual meaning to a data owner’s information to transform it into a vertical search engine site, which it calls a kite. The idea is that data owners can import their data into its management system, and work with its developer and integration team to customize it to their domain needs, including how they think users want to search the decision space. Users can then search, sort, and interact with the content through decision tools, top 10 lists, user reviews, and ratings.

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On Tap for FindtheBest: More Soft Joins and More Crowd-Sourcing

FindtheBest (the site where users can compare some 700 topics side by side, initially discussed here) has some new capabilities on tap. This includes what it says are soft joins for relating together diverse data sets.

“Joins is a very hard database connection between two tables. Soft joins are a little more semantic,” says CEO Kevin O’Connor, co-founder of DoubleClick. “We’re linking a lot of data sets together on a loose basis.” To the end, he says, of trying to “cross-relate information a lot more, trying to discern all the data we have and give it some semantic meaning into ways people can understand it. It turns out there’s a huge, huge number of these semantic relationship between our data.”

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s3space: Stepping Stone To Working With Linked Data

One of the queries that often comes up at our Semantic Answers site is about how to get started actually working with Linked Data. Perhaps s3space can be of some help.

The brainchild of Amit Krishna Joshi, a PhD student in the College of Engineering and Computer Science at Wright State University, where he does research at the Kno.e.sis Center, s3space is billed as a social lab for querying Linked Data. While the site isn’t for complete Linked Data neophytes – users do need to know something about RDF and how to write a basic SPARQL query and test it – s3space takes care of implementing and consuming data-set web services for querying SPARQL endpoints. It uses the Google App Engine at the back end to scale.

“With Linked Data, many people are trying to push more data onto the web. There is more structured data for researchers, for students, and for developers, but the basic question is how do you get at the data,” Joshi says. “To get at the data you have to write a query. And with this we are educating people to write a better query,” because they can repurpose queries that already are posted.

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