Subscribe to Angel Blog Reviews Subscribe to Angel Blog Reviews's comments

Posts tagged ‘wolfram’

Earlier this year at the SemTech conference in San Jose, I sat down with Wolfram|Alpha 's Russell Foltz-Smith. Wolfram|Alpha bills itself as a "computational knowledge engine," a nerdy and unfortunately not very intuitive description. Because it's hard to grok, most people have categorized Wolfram|Alpha as a new type of search engine. The site got a lot of press when it launched in May , as many pundits saw it as a challenger to Google. However in our own extensive tests of the product before launch, we concluded that it isn't a "Google Killer" and that it has more in common with Wikipedia. Even now there is still confusion about what Wolfram|Alpha is and what its main use cases will be. In this interview with Russell Foltz-Smith, we discuss what people are using Wolfram|Alpha for now; and more importantly what its uses will be in the near future. Sponsor Editor's note: This story is part of a series we call Redux, where we'll re-publish some of our best posts of 2009. As we look back at the year - and ahead to what next year holds - we think these are the stories that deserve a second glance. It's not just a best-of list, it's also a collection of posts that examine the fundamental issues that continue to shape the Web. We hope you enjoy reading them again and we look forward to bringing you more Web products and trends analysis in 2010. Happy holidays from Team ReadWriteWeb! Wolfram|Alpha: What is it Good For? Wolfram|Alpha is a product that was built on top of founder Stephen Wolfram's Mathematica product, a software tool for mathematicians that was initially released in 1988. The aim is to allow users to type human-like statements and have computations done on those. Wolfram|Alpha was first conceived and started development about 4 years ago, and just 6-8 months ago the team gave serious consideration to taking the product to a wider consumer audience. I started out by asking Foltz-Smith what the Wolfram|Alpha team thought of all the media hype around their product, particularly about the "Google Killer" theme which many media outlets reveled in. Foltz-Smith replied that they were expecting to be compared to Google, but not to that extent. Their team was a little surprised there wasn't more discussion around Wolfram|Alpha's similarities to Wikipedia and Freebase (although he noted that ReadWriteWeb certainly covered that!). Regarding the Google comparisons, Foltz-Smith said that they didn't give into the hype - they stuck to what their goals were. I remarked that many people still seem confused about what Wolfram|Alpha does and what it can be used for. Foltz-Smith said that people will use it for different things. The crux of the product though is that it allows people to compute and calculate things. But will mainstream people use Wolfram|Alpha? Right now, it seems to be focused on mathematicians. Foltz-Smith replied that yes, eventually Wolfram|Alpha will find a mainstream audience. It has started specific, but it will go broader. First, he said, it has to "pass a test" with "serious users" - by which he means academics and computational users. If it's useful for them, claimed Foltz-Smith, it will then go mainstream. Use Case: Education One real-world use case we talked about was using Wolfram|Alpha in education. Russell Foltz-Smith said that Wolfram|Alpha could be used to automatically generate problem sets for students, and then research those sets. A recent article in education website Chronicle.com argued that Wolfram|Alpha may have a less desired effect: encouraging cheating and laziness in students. This is because Wolfram|Alpha not only solves complex math problems, it "also can spell out the steps leading to those solutions." Stephen Wolfram told Chronicle.com that computer-algebra systems like Wolfram|Alpha actually improve education - because they allow students to explore complex problems on their own and intuitively determine how functions work, rather than just learn rote processes. Wolfram claimed that "it's better to let them [students] stand on that platform and go further." Either way, it's clear that Wolfram|Alpha and similar computational software will force the education system to adapt and change. Students now have a new (and certainly easier to use, as it's on the Web) platform on which to compute things. There's no point in the education system pretending it doesn't exist. If you're interested in tracking the progress of Wolfram|Alpha in educational settings, there is a wiki devoted to 'Teaching Undergraduate Math with Wolfram|Alpha.' Use Case: Computational Journalism This one was described to me as "anomaly spotting." For example with the current interest in swine flu news, Wolfram|Alpha could be used to fact-find and compute interesting trends. As Foltz-Smith described it, Wolfram|Alpha could "automatically enhance news." Foltz-Smith noted that CNN and other major networks do this already (analyze data), but that it's expensive to do. The end results on CNN are added value things like interactive maps and fancy diagrams. Wolfram|Alpha could make this type of data gathering and analysis presentation inexpensive and common place amongst all kinds of news operations - including good old blogs. Use Case: Sports Watching Imagine sitting in your sofa in the lounge, remote control in one hand and your favorite beverage in the other. You're watching the Friday night game on TV, it's a close game and you're curious about which team has the better chance of winning. Why, check Wolfram|Alpha of course! In real time, Wolfram|Alpha could compute statistics about not just the history of the two teams - but the history of the location of the game, the weather, the season so far, etc. As Foltz-Smith explained it, Wolfram|Alpha would be able to do "chained queries" - queries made up of multiple parts. For example: which quarterback had the best winning record in games played in the rain during the 1970s. Other Use Cases We also discussed medical and scientific use cases. Although there are early examples of Wolfram|Alpha in health, such as a nutrition label generator , Foltz-Smith was generally cautious about medical uses - because a lot of health data "can't be wrong." He noted that in use cases like medical research, the issue of data fidelity is key. For example with the human genome, you have to take great care of that data and associated algorithms. Also he explained that as something like the human genome scales, how do you do QA? Foltz-Smith admitted that the Wolfram|Alpha team is still working on these and similar issues. But they have a lot of people devoted to solving this problem. Some types of data could be crowdsourced, e.g. in linguistics, but other data needs different approaches. Conclusion It was interesting to hear about some of the potential uses of Wolfram|Alpha. We at ReadWriteWeb think this product has a promising future. If Web 2.0 was about creating data (user generated content, to use the most familiar term for this), then the next generation of the Web is all about using that data. Wolfram|Alpha is premised on using and computing data. Let us know in the comments what use cases you see for Wolfram|Alpha, and whether you're aware of similar computational web apps. See also: Wolfram|Alpha: Our First Impressions Wolfram|Alpha in Action: Our Screenshots Mixed Emotions: Our First Hands-On Test Of Wolfram|Alpha Wolfram|Alpha Launch: Here's What You Need to Know Wolfram Alpha Gets Its First Update Discuss

4f42deca51july09.jpg Wolfram|Alpha: The Use Cases

Original post:
Wolfram|Alpha: The Use Cases

This week ReadWriteWeb will run a series of posts detailing what we think are the five biggest, most cutting-edge Web trends to come out of 2009. We'll be posting one trend analysis per day. Then at the end of the week we'll publish a major update to our standard presentation about web technology trends. The first major Web trend we're looking at is Structured Data . In prior presentations , this has sometimes been referred to under the umbrella term of 'Semantic Web'. However the way 2009 has panned out so far, it's become clear that this trend is much more than the Semantic Web. In this post, we'll analyze the developments in Structured Data this year and provide you with 3 product examples: OpenCalais, Google, Wolfram Alpha. Sponsor Editor's note: This story is part of a series we call Redux, where we'll re-publish some of our best posts of 2009. As we look back at the year - and ahead to what next year holds - we think these are the stories that deserve a second glance. It's not just a best-of list, it's also a collection of posts that examine the fundamental issues that continue to shape the Web. We hope you enjoy reading them again and we look forward to bringing you more Web products and trends analysis in 2010. Happy holidays from Team ReadWriteWeb! Web of Data, Not Documents Tim Berners-Lee said in February this year that we're now in a Web of Data , rather than a Web of Documents. The organization that Berners-Lee heads, the W3C, has heavily promoted two key initiatives that are helping to build this Web of Data: the Semantic Web and more recently Linked Data . However over the past few years, we've seen that there are many other ways to structure data and enable others to build off it. The best current example is surely Twitter , whose API has historically been responsible for around 90% of Twitter's activity - via third party apps. The basic principle of the Web of Data is still the same as what Alex Iskold articulated on ReadWriteWeb back in March 2007: "unstructured information will give way to structured information - paving the road to more intelligent computing." Example 1: OpenCalais Our first example product, OpenCalais , is probably the best current example of Linked Data (which is a type of structured data endorsed by W3C). Thomson Reuters, the international business and financial news giant, launched an API called OpenCalais in Feb '08 . In a nutshell, OpenCalais turns unstructured HTML into semantically marked up data. It orders data into groups such as 'people,' 'places,' 'companies' and more. This way, third party applications and sites can build interesting new things from that data - one of the defining principles of Linked Data. For a full explanation of Linked Data, read Alexander Korth's technical introduction The Web of Data: Creating Machine-Accessible Information from April 2009. I also explained the background and benefits of Linked Data in a May '09 post entitled Linked Data is Blooming: Why You Should Care . Example 2: Google Rich Snippets In May this year, Google added structured data to its core search, in the form of a feature called 'Rich snippets.' Essentially this feature extracts and shows useful information from web pages, by way of structured data open standards such as microformats and RDFa. On launch in May, Google invited publishers to mark up their HTML. While it will take a while for this markup to become widespread, the fact that a huge company like Google implemented it shows the increasing importance of structured data on the Web. Other big companies are also heading in this direction - in particular, Yahoo was an early leader . Example 3: Wolfram Alpha Ever since Wolfram|Alpha 's much hyped launch in May , we've been tracking this innovative product closely. It's a self-described "computational knowledge engine" and while it's not quite the Google killer some predicted, it has many potential uses . Wolfram|Alpha has a search engine-like interface, allowing you to type natural language statements into it. But the main part of the product is the computations you can do on data. The product is premised on using and computing data . If Web 2.0 was about creating data (a.k.a. user generated content), then the next generation of the Web is all about using that data. Conclusion We can see from the above three examples that structured data is rapidly becoming a feature of today's Web. Companies like Thomson Reuters and Google are enabling data to be structured, and new types of products (like Wolfram|Alpha) will make use of structured data in ways we perhaps can't imagine right now. ReadWriteWeb's Top 5 Web Trends of 2009: Structured Data The Real-Time Web Personalization Mobile Web & Augmented Reality Internet of Things Discuss

linkeddata bloom Top 5 Web Trends of 2009: Structured Data

More here:
Top 5 Web Trends of 2009: Structured Data