Barbara Starr of Search Engine Land recently observed that, “Search is changing – and it’s changing faster than ever. Increasingly, we are seeing organic elements in search results being displaced by displays coming from the Knowledge Graph. Yet the shift from search over documents (e.g. web pages) to search over data (e.g. Knowledge Graph) is still in its infancy. Remember Google’s mission statement: Google’s mission is to organize the world’s information to make it universally accessible and useful. The Knowledge Graph was built to help with that mission. It contains information about entities and their relationships to one another – meaning that Google is increasingly able to recognize a search query as a distinct entity rather than just a string of keywords. As we shift further away from keyword-based search and more towards entity-based search, internal data quality is becoming more imperative.”
Adrienne Lafrance of The Atlantic reports, “One of the tasks the human brain best performs is identifying patterns. We’re so hardwired this way, researchers have found, that we sometimes invent repetitions and groupings that aren’t there as a way to feel in control. Pattern recognition is, of course, a skill computers have, too. And machines can group data at scales and with speeds unlike anything a human brain might attempt. It’s what makes computers so powerful and so useful. And seeing the structural framework for patterns across vast systems of categorization can be enormously revealing, too.” Read more
HELSINKI, Finland, July 17, 2014 /PRNewswire/ — Leiki, Ltd, a leading provider of content discovery solutions for publishers and advertisers announce today that it has agreed with Outbrain, Inc, to enhance the relevancy of their related and sponsored content delivery. As a result of this cooperation, consumers will see content recommendations that are more directly relevant to the articles they are reading and publishers and sponsors will enjoy higher consumer engagement.
Outbrain will use the Leiki Focus semantic engine to analyze web pages using the Leiki-proprietary 130,000 contextually definitive topics. The resulting weighted profile consists of the 50-200 most relevant topics and provides a highly accurate and detailed “context fingerprint”. Outbrain will use this as part of their core delivery system to find matching articles from within the publisher’s domain as well as among the Outbrain sponsored content network. Read more
Ivan Herman Discusses Lead Role At W3C Digital Publishing Activity — And Where The Semantic Web Can Fit In Its Work
There’s a (fairly) new World Wide Web Consortium (W3C) activity, the Digital Publishing Activity, and it’s headed up by Ivan Herman, formerly the Semantic Web Activity Lead there. That activity was subsumed in December by the W3c Data Activity, with Phil Archer taking the role as Lead (see our story here).
Begun last summer, the Digital Publishing Activity has, as Herman describes it, “millions of aspects, some that have nothing to do with the semantic web.” But some, happily, that do – and that are extremely important to the publishing community, as well.
Cast your vote yet for The Booksmash Challenge? If not, you’ve got a chance to pull the lever for semantic technology for the contest, which is sponsored by HarperCollins and asks developers to create proof-of-concept apps using its OpenBook API that includes full access to select authors’ work.
Entered in the challenge is the KEeReader, a browser-based e-reading platform that brings the ability to identify concepts, entities and relationships within content and allow users to interact with it. Its chief architect is Eric Freese, who gave audiences at this past spring’s SemTech conference in San Francisco a first look at the platform, and who will be providing attendees at the upcoming Semantic Technology & Business Conference in NYC the latest insights on its place in the evolving world of knowledge enhanced e-reading. KEeReader adds a semantic angle to its book discovery one, opening the door to a vastly richer experience, says Freese.
“The two main goals of this are first to bring e-books into being first- class citizens on the web,” he says, benefitting from search engine optimization techniques for discovery, subscription to open Web standards to leverage the world of web resources like Wiktionary, and even analytics about book use for publishers to use in their business strategies. “The second goal is to unlock knowledge contained within the book.”
Content intelligence at scale. That’s the promise of the new Temnos platform from the company of the same name. Aimed equally at publishing networks that want to do a better job monetizing their output and brands with their own content initiatives, Temnos delivers metadata and metacontent for every URL sent its way, with the goal of helping the user understand its strengths and weaknesses, what audiences are primed to respond to it, how it might be repackaged to better direct to groups of readers or advertisers, what alternate headlines can be drawn out, and what summaries can be used, with the user’s choice of a more optimistic or pessimistic slant, low- or high-brow angle, and other features.
“It’s a good time to do this because both marketing advertising players and publishers and publishing networks are all hungry to make their products better,” says Temnos founder and executive chairman Tim Musgrove, who founded advanced semantic search and corpus analytics company TextDigger, which was acquired by Federated Media in 2010. Musgrove was Federated Media’s chief scientist in its Data Science Group until June, and Federated Media is one of the early adopters of the Temnos platform. “They find they can get a lot more leverage out of content marketing by doing this,” says Musgrove, helping to boost the CPM earned from marketers. “They can package their campaigns in a way that feels like it’s narrowing the targeting and not narrowing the inventory.”
[Editor's Note: Tempo AI co-founder Thierry Donneau-Golencer will be presenting at the upcoming SemTechBiz Conference in New York. Learn about his presentation, Extracting Actionable Contextual Knowledge from Semi-Structured Personal Data, then register for the conference here. Sponsor opportunities are also available -- click here to learn more.]
MENLO PARK, Calif. – July 31, 2013 – Today, Tempo AI, creator of the breakthrough personal productivity and assistant app for iOS, Tempo Smart Calendar, is announcing its availability in Australia and New Zealand as part of the company’s plan to expand globally. Tempo Smart Calendar is like having a personal assistant prepare for what’s next – not only providing the right information but also anticipating what a user intends to do. With details in the event summary, it is simple to quickly find information and take action, saving time and eliminating hassle. Common tasks are reduced to a single tap, like dialing into conference calls, sending a text when running late, and checking flight status or reviewing an agenda—all without leaving the calendar. Read more
Rebecca Grant of VentureBeat reports, “Scoop.it has scooped up $2.6 million to mold vast amounts of Internet content into more manageable form. The company combines semantic analysis with human curation to help brands publish relevant content. Its technology crawls 10 million pages across the Web, analyzes it, and makes personalized content suggestions for users based on their areas of interest. Users pick and choose the items they find interesting or relevant and publish them to their personal or organizational site. ‘A growing number of people, professionals, businesses and brands have to publish online to develop their visibility, reputation, and brand,’ said founder Guillaume Decugis in an interview with VentureBeat. ‘This is time-consuming, and it is hard to produce relevant quality content to rise above the noise. We help them find content that relates to their areas of expertise so they can feed their sites, social media channels, search engines, and newsletter’s.” Read more
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