WEBINAR: Monetizing Content with Semantic Technologies

Webinar: Monetizing Content with Semantic TechnologiesDATE: Wednesday, October 15, 2014
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees

About the Webinar

Register Now!Semantic technology solves a concrete problem: sorting through large collections of unstructured data. With unstructured data expected to account for over 80 percent of all data within the next five years, the ability to target this data using semantic technology opens doors to better understand context and intent in search, and ultimately achieve greater visibility and relevant results. This presentation will showcase how semantic technologies can understand article content and select contextually relevant adverts to most effectively monetize content for advertisers and publishers.

  • Discover how semantic technology helps thousands of advertisers reach their audience in a meaningful way, and helps hundreds of online publishers monetize their content.
  • Learn how semantic technology reduces errors and time spent by marketers when defining their campaigns and yield better overall results.
  • Understand some of the challenges that come with semantic technologies and how to address them ahead of time.
  • Go behind the scenes with semantic and linguistic processing of web pages.

We hope you will join us on October 15, 2014 for this free webinar.

Register today to reserve your spot!

 

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Semantic Technology Jobs: Glassdoor

glassdoorGlassdoor is looking for an Engineering Manager, Search Infrastructure in Sausalito, CA. According to the post, “Our mission is to ‘help people everywhere find jobs and companies they love’. Search is core to that mission. We are looking for a data-driven engineering leader with strong technical and management experience in the search arena. Your role is to help set the strategic direction of the search team as well as manage the daily and weekly deliverables of a team of smart, high performance engineers, so that the team consistently delivers on its commitments.”

Qualifications for the position include: “Experience directly managing an infrastructure / back-end engineering team. Read more

Bringing the Power of the Cloud to Research Libraries

5810163712_ac8a7f249e_zResearch Information recently wrote, “There are several potential benefits to libraries of using cloud-based resources and services. These include increased efficiencies, opportunities for collaboration, decreased need for in-house technical expertise, cost savings, and more timely access to the latest IT functionality. The cloud also promises improved workflow, automated software updates, redundancy, and back-ups. ‘Libraries have a real need for efficiency in processing operations, notably combining maintenance of print and electronic content in a single set of workflows,’ said [Jane] Burke [VP of Market Development at ProQuest]. ‘The new model systems offer unified workflows for all types of content within a single solution.  They also offer the platform to provide qualitative benefits, such as a centralised knowledgebase.  A robust knowledgebase is critical to delivering unified collection management.’” Read more

It’s Time for Developers to Take Linked Data Seriously

9965173654_7bf862d89d_nCandice McMillan of Programmable Web reports, “If you aren’t familiar with linked data or the Semantic Web, it’s probably a good time to get better acquainted with the concepts, as it seems to be a popular theme that is rippling through the Web development world, with promises of exciting possibilities. At this year’s APIcon in London, Markus Lanthaler, inventor of Hydra and one of the core designers of JSON-LD, talked about the importance of optimizing data architecture for an integrated future, focusing on linked data as a promising solution.” Read more

AlchemyAPI’s New Face Detection And Recognition API Boosts Entity Information Courtesy Of Its Knowledge Graph

AlcaclhinfohemyAPI has released its AlchemyVision Face Detection/Recognition API, which, in response to an image file or URI, returns the position, age, gender, and, in the case of celebrities, the identities of the people in the photo and connections to their web sites, DBpedia links and more.

According to founder and CEO Elliot Turner, it’s taking a different direction than Google and Baidu with its visual recognition technology. Those two vendors, he says in an email response to questions from The Semantic Web Blog, “use their visual recognition technology internally for their own competitive advantage.  We are democratizing these technologies by providing them as an API and sharing them with the world’s software developers.”

The business case for those developers to leverage the Face Detection/Recognition API include that companies can use facial recognition for demographic profiling purposes, allowing them to understand age and gender characteristics of their audience based on profile images and sharing activity, Turner says.

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Semantic Web Jobs: BBC

bbcThe BBC is looking for Software Engineers at every level in Salford, UK. According to the post, “Platform API is BBC Future Media’s new Salford based API team, with the mission to make life easier for application and website developers who work with the BBC’s content, and to accelerate innovation in our online products. Our APIs power all the BBCs product areas – iPlayer, News, Sport, Weather, Children’s, Knowledge & Learning – as well as many external & partner products such as www.thespace.org and Youview. If this sounds like an exciting challenge for you, we look forward to speaking to you!” Read more

Could “Amelia” Start Filling Low-Level Jobs?

Amelia_3053068bSophie Curtis of The Telegraph reports, “Today a new artificial intelligence computing system has been unveiled, which promises to transform the global workforce. Named ‘Amelia’ after American aviator and pioneer Amelia Earhart, the system is able to shoulder the burden of often tedious and laborious tasks, allowing human co-workers to take on more creative roles. ‘Watson is perhaps the best data analytics engine that exists on the planet; it is the best search engine that exists on the planet; but IBM did not set out to create a cognitive agent. Read more

What You Can Expect From Windows 9

cortana304x200Dave Altavilla of Forbes reports, “Microsoft has a big opportunity tomorrow when they unveil the next version of Windows known by the code name ‘Threshold’ and what could ultimately be dubbed Windows 9. Though its official name has yet to be confirmed, Microsoft is holding an event tomorrow in San Francisco and the unveil invitations sent out hint at ‘what’s next for Windows.’ Lately there have been a flurry of reports and leaks of what is widely known as Windows 9, though there is still some buzz that Microsoft may brand the OS by a different name upon launch. Regardless, here are a few key highlights on what I think we’ll see the Redmond team unveil with this new OS, which is expected to cure the many ills users have been complaining of with Windows 8.” Read more

Semantic Web Jobs: Adecco

AdeccoAdecco is looking for a Software Engineer for a contractual position in San Jose, CA. According to the post, “A Software Engineer job in San Jose,CA is available courtesy of Adecco Engineering and Technology. In order to qualify for this position you must have a degree in software engineering design and development.” This position “Designs, develops, tests, and evaluates software and systems that enable computers to perform their applications, applying principles and techniques of computer science, engineering, and mathematical analysis. Analyzes software requirements to determine feasibility of design within time and cost constraints. Consults with hardware engineers and other engineering staff to evaluate interface between hardware and software and operational and performance requirements of overall system.” Read more

Harnessing the Power of Deep Learning

5621803163_5772be9d8cCade Metz of Wired reports, “When Google used 16,000 machines to build a simulated brain that could correctly identify cats in YouTube videos, it signaled a turning point in the art of artificial intelligence. Applying its massive cluster of computers to an emerging breed of AI algorithm known as ‘deep learning,’ the so-called Google brain was twice as accurate as any previous system in recognizing objects pictured in digital images, and it was hailed as another triumph for the mega data centers erected by the kings of the web.” Read more

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