Kngine. Search the Data Web - Sindice. Siri. Endeca. Wolfram|Alpha. A Big Change Is Coming — Wolfram|Alpha to See Dramatic Functionality Enhancements. Posted by Most of our users are aware that we release a new version of Wolfram|Alpha every week. Each version includes countless changes—including regular data updates to hundreds of sources, improvements to our natural-language parser and other core frameworks, and completely new areas of coverage.
This blog usually focuses on new datasets and functionality, and if you’ve been reading it recently, you know we’ve made some huge additions in just the last couple of months. We’ve introduced our own unique spin on NFL statistics. We’ve added the ability to visualize, compare, and purchase consumer products. And we’ve extended popular mathematics functionality like “Show steps” to more and more domains, most recently differential equations, as we highlighted earlier this week. But the biggest change to Wolfram|Alpha since its launch nearly three years ago will be our next release, and we wanted you to be aware that it’s coming. Stay tuned! Watson. This is the Watson Web interface for searching ontologies and semantic documents using keywords. This interface is subject to frequent evolutions and improvements.
If you want to share your opinion, suggest improvement or comment on the results, don't hesitate to contact us... At the moment, you can enter a set of keywords (e.g. "cat dog old_lady"), and obtain a list of URIs of semantic documents in which the keywords appear as identifiers or in literals of classes, properties, and individuals. You can also use "jokers" in the keywords (e.g., "ca? Dog*"). Search options allow you to restrict the search space to particular types of entities (classes, properties or individuals) and to particular elements within the entities (local name, label, comment or any literal). Navigation in the results follows very simple principles. Sign appears, it can be used to display additional information about the element it is attached with. IBM's Watson wins Jeopardy practice round: Can humans hang? IBM's Watson supercomputer won a practice round against Jeopardy champions Ken Jennings and Brad Rutter and raised a lot of questions about the capabilities of artificial intelligence.
Watson, a four-year effort by IBM, was quicker on the draw, didn't fall prey to emotion and had a voice that could be confused for wayward computer Hal 9000 from the movie 2001: A Space Odyssey. For IBM, Watson is about tackling verticals and bringing hardware and analytics to the fore. As one of the dozens of humans watching this practice round, I can't deny I was a bit squeamish about seeing a supercomputer wing it, adapt and show off its artificial intelligence. Is this thing going to be Skynet? IBM's Watson gets its Jeopardy warm-up Naturally Ferrucci was asked about whether Watson had the risk of Hal 9000. Here's a look at the practice rounds. When the duel was finished, Watson won the round with $4,400, Jennings had $3,400 with Rutter bringing in $1,200.