Wolfram Alpha: Second-Hand Impressions
Regular readers may not be surprised that my commentary on the Wolfram Alpha pre-launch publicity didn’t earn me a hands-on preview–though it did earn me a surprisingly positive email from their PR department. But fortunately I have my sources, and one of them was kind enough to share reactions to demo of the system.
His impressions in brief:
- He’s impressed with the technology, though dubious that they have a business model.
- Their knowledge base incorporates 10 trillion “facts” (RDF triples) derived from curated sources.
- They focus on factual and numerically oriented queries, as opposed to fuzzier semantic ones…
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Regular readers may not be surprised that my commentary on the Wolfram Alpha pre-launch publicity didn’t earn me a hands-on preview–though it did earn me a surprisingly positive email from their PR department. But fortunately I have my sources, and one of them was kind enough to share reactions to demo of the system.
His impressions in brief:
- He’s impressed with the technology, though dubious that they have a business model.
- Their knowledge base incorporates 10 trillion “facts” (RDF triples) derived from curated sources.
- They focus on factual and numerically oriented queries, as opposed to fuzzier semantic ones.
- Their engine is based on the approach described in NKS.
- Their presentation interface reminds him of Wikipedia’s infoboxes.
My reaction: still intrigued, still skeptical. It sounds like a great toy, but a toy nonetheless. But I’ll try to keep an open mind until I get to play with it myself.
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