Thanks
Thanks
What they're proposing is structure, not machine readability... Technically, with the state of OCR and other methods, many things like LaTeX, PDFs, .DOCs, etc are all perfectly machine readable -- the problem is getting the information out in a meaningful way.... that's usually done by standardizing on structure.
When it comes to specifying structure, XML and JSON are pretty much the front-runners (at least I think so), and since XML isn't so popular lately (since it's so verbose), JSON is in the spotlight now
Uh, no. What does OCR even have to do with the 'machine readability' (for your strange definition of it) of the formats you mention?
The big picture is to make as many things as possible "machine readable" (things more difficult than resumes), and use machines to work faster than humans ever could.
Other than the fact that most of the things I noted are ALREADY in a state that is computer usable (whether it makes sense to humans looking at computers is another question), I was trying to point out that getting the information into a computer (A.K.A. Machine readability) is not the issue we're struggling with now, it's structuring, characterizing and understanding the information.
I mentioned OCR because it's used to parse resumes to find important bits when other methods fail (or someone submits something crazy like a scanned version of their resume instead of the file) -- something that wouldn't be necessary if there was a standard (like is being proposed) to adhere to, that people could semantically find what they wanted from.
Also, if you read closely, I said with the state of OCR AND OTHER METHODS... OCR does not have anything to do with the machine readability of other methods, it's just one method people use to extract data, or for machines to "read" the document.