by clicking on the page. A slider will appear, allowing you to adjust your zoom level. Return to the original size by clicking on the page again.
the page around when zoomed in by dragging it.
the zoom using the slider on the top right.
by clicking on the zoomed-in page.
by entering text in the search field and click on "In This Issue" or "All Issues" to search the current issue or the archive of back issues respectively.
by clicking on thumbnails to select pages, and then press the print button.
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displays a table of sections with thumbnails and descriptions.
displays thumbnails of every page in the issue. Click on a page to jump.
allows you to browse through every available issue.
FCW : April 30, 2015
So Horvitz “analyzed query logs and identified chains of queries (basically a succession of queries within a period of time) in which the final query was something like a hospital address,” Weitz writes. “He also looked at mobile query chains and isolated sets where the GPS stopped at a hospital or the user dialed 911. By tying together disparate graphs (location, phone, queries), he was able to train the system to better understand situations where an immediate response was necessary.... For example, if search detected a query that was likely resolved by CPR, the system would not show a YouTube video on CPR that had a two-minute introduction.” Similarly, when the system detected a pattern of queries made via mobile phone, “it could automatically begin to build a route to the nearest hospital or dial 911 in the background.” That’s not just data retrieval. It’s what Weitz terms “the capable web,” and it’s where he argues we should be heading as quickly as the technology will allow. Reality check It could take a while, however. Weitz reports that “major search systems still see 25 percent or more of queries failing for users, as measured by how quickly users click back to the search results page after they have clicked on a link.” And his optimism comes with reality checks. “Search” has whole chapters devoted to the technology, business, legal and cultural hurdles that could slow or stall this dramatic evolution of our ability to access and use knowledge. (The brief examination of data ownership alone is worth the book’s cover price.) What’s holding back search? Weitz asks. The answer is “a lot.” Yet for those tasked with making government more citizen- centric or mining data in support of other critical missions, those hurdles are valuable food for thought. How does one cross- correlate the discrete “islands of data” to provide better service while still protecting and respecting privacy? If search can understand what someone has already read elsewhere and can apply probabilistic models, what does that mean for delivering content? As sensors drive the amount of searchable data into new stratospheres, how does one decide what information to ignore? What is the best way to help a user find that obscure tax form? The techno-optimism is informative as well. Weitz is a breezy writer, and there are plenty of fun nuggets scattered through the book. For example, Microsoft has some 33 billion objects modeled in Bing’s “knowledge repository.” Silicon Valley venture capitalist Vinod Khosla believes machine learning will prove to have a bigger impact than mobile technology. Siri worked better five years ago, before Apple modified it to work at scale. Far more useful, however, are Weitz’s mini-seminars on what analytics and search technologies are making possible and why we need to think bigger than keywords and Web pages. Ultimately, Weitz argues, “more equal access to information for all people will radically change the world. The end result is better decision-making.” n April 30, 2015 FCW.COM 31 Also worth reading “Leading Digital: Turning Technology into Business Transformation” Plenty has been written about learning from Silicon Valley startups that are digital from Day One, but government wasn’t built that way. This book, which explores how large, traditional companies have “gone digital,” offers decidedly more relevant research for IT leaders agitating in agencies that are still orga- nized for analog. “The HEAD Game: High-Efficiency Analytic Decision-Making and the Art of Solving Complex Problems Quickly” Former National Security Council staff member Philip Mudd spent more than two decades in government intelligence, wrestling with high-stakes decisions informed by data that was both overwhelming and incomplete. His new book offers a framework for making sense of complex challenges at almost any scale. — Troy K. Schneider 0430fcw_030-031.indd 31 4/7/15 3:29 PM
April 15, 2015
May 15, 2015