Making Wolfram | Alpha usable

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Daniel Tunkelang, among others, has pointed out (here and here) that Wolfram | Alpha is making its life (and potentially its users’) more difficult by focusing on an NLP interface. Instead, they should expose their data through YQL to leverage all of the development happening in that platform. This would allow mashups to leverage Wolfram | Alpha content and provide the context disambiguation that will make the data more useful with less interaction.

While some licensing issues related to the volume of requests may need to be resolved, it seems plausible that the two technologies will complement each other and increase their respective value.

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