Archives: April 2013

Semantic Web Jobs: Harvard Medical School

Harvard Medical School is looking for a Programmer in Boston, MA. According to the post, “The Biomedical Cybernetics Laboratory (BCL) at the Center for Biomedical Informatics, Harvard Medical School (bcl.med.harvard.edu) at Harvard/MIT is seeking a programmer to apply novel research approaches and develop several medical applications using a new electronic health record (EHR)-agnostic application programming interface (SMART). BCL utilizes computational network approaches to develop predictive models for diseases. We are currently developing some new and exciting applications in the medical field that may help both doctors and patients by developing and applying novel translational research approaches.” Read more

Semantics & Big Data Go to the Bank

Glen Fest of American Banker reports, “The use of semantics often is a way to evade the issue at hand (i.e., Bill Clinton’s parsed definition of ‘is’). But in David Saul’s world of bank compliance and regulation, it’s something that can help get right to the heart of the matter. Saul, the chief scientist at State Street Corp. in Boston, views the technology of semantics—in which data is structured in ways that it can be shared easily between bank divisions, institutions and regulators—as an ends to better understand and manage big-bank risk profiles. ‘By bringing all of this data together with the semantic models, we’re going to be able to ask the questions you need to ask to prepare regulatory reporting,’ as well as internal risk calculations, Saul promised at a recent forum held at the New York offices of SWIFT, the Society for Worldwide Interbank Financial Telecommunication.” Read more

Machine Learning’s Promising Future

The Financial reports, “Unlocking the future—that was the theme Rick Rashid, Microsoft chief research officer, used to close his opening remarks April 23 during the first day of the Microsoft Research Machine Learning Summit 2013… ‘This topic of machine learning has become incredibly exciting over the last 10 years,’ [Rashid] said. ‘The pace of change has been really dramatic, so it’s exciting to get so many people from so many different areas to be here today to talk about it.’ Rashid recalled a time in the not-so-recent past when machine learning was in its nascent stage, using rules and pattern recognition to produce results many found less than stellar. But today, he stated, a combination of data, devices, and services has led to newfound respect for the discipline, which is having an increasingly dramatic impact on business and society.” Read more

iOS Gets a Dose of Google Now

Stuart Dredge of The Guardian writes, “Google has launched its Google Now service for iOS devices, as an update to its existing Google Search app. Accessed by swiping upwards from the bottom of the app’s homescreen, Google Now learns about its user through their activities and their history in various Google services. It then serves up weather forecasts, traffic reports, boarding passes, sports scores and other information when they may be relevant. On iOS, it’s the sole new feature in version 3.0.0 of the Google Search app. Available for Android devices since the Android 4.1 Jelly Bean software was released in 2012, Google Now’s iOS incarnation has been subject to speculation this year.” Read more

Semantic Hack Has a New Home – Citizen Space!

The inaugural hackathon at the Semantic Technology & Business Conference, Semantic Hack, will now be held at Citizen Space, a membership-based, coworking space located in San Francisco, very near the conference hotel.

With plenty of flexible space, a relaxed environment, lots of experience hosting hackathons, and an impressive list of other amenities, Citizen Space promises to be a perfect location for developers and designers to gather for a fun day of coding!

Semantic Hack is a day-long coding event that asks “What could you build if the entire web was your database?” — and then challenges participants to do it!

Semantic Hack brings together developers and designers to work with advanced web-page extraction technologies, RDF, OWL, SPARQL, linked data, sentiment analysis, newly available datasets, and other semantic technologies that help make the web more readable, accessible and dynamic for humans and more interpretable by machines. PLUS, you don’t have to know anything about semantics to attend. If you do, great!  But if not, this will be a great way to get started exploring.

Teams will compete to create the most intriguing and innovative apps atop these technologies, driving to win prizes and — who knows? — even help to usher in the next phase of the web.

There is no cost to sign up, and sponsorship opportunities are available. For more details, visit the Semantic Hack site.

Semantic Web Jobs: IBM

IBM is looking for an IBM Watson User Interface & Tooling Developer in Dublin, OH. According to the post, “The IBM Watson offerings are based on the solution created by IBM Research and is a platform which is very different from most common software/hardware platforms in that it involves an uncommon and complex system of systems. These new product offerings will meet the requirements of an emerging market for Deep Question/Answer Solutions. The capability is based on UIMA AS an Open Source framework for deployment of a highly parallel, probabilistic infrastructure running across dozens of discrete Linux systems. You will specialize in designing, developing, testing, and deploying use cases in targeted industries including, but not limited to: health care, financial services, and contact center domains. Read more

Big Data: The Context Issue

Alissa Lorentz of Wired reports, “With all the hype around Big Data, we’ve become extremely proficient at collecting data – be it from enterprise systems, documents, social interactions, or e-mail and collaboration services. The expanding smorgasbord of data collection points are turning increasingly portable and personal, including mobile phones and wearable sensors, resulting in a data mining gold rush that will soon have companies and organizations accruing Yottabytes (10^24) of data… So it’s all dandy that we’re getting better and better at sucking up every trace of potential information out there, but what do we do with these mountains of data? Move over Age of Content, enter the Age of Context.” Read more

Gatfol Language Semantics Announces First Integrated Prototype Installation

Centurion, South Africa (PRWEB) April 26, 2013 — Gatfol serves base technology to provide digital devices with the ability to process human natural language efficiently.

The goal of truly semantic search has not yet fully been realized. The main problem is the enormity of ambiguous word permutations of semantic equivalence in even the simplest of phrases, which up to now has processing-wise required huge structured lexicons and ontologies as guides. Read more

“Machine Learning Approach” Wins First Prize In Parkinson’s Data Challenge

NEW YORK, April 24, 2013 /PRNewswire-USNewswire/ – Researchers from LIONsolver, Inc. have won first prize in The Michael J. Fox Foundation’s $10,000 Parkinson’s Data Challenge, a contest leveraging “the wisdom of the crowd” to benefit people with Parkinson’s disease (PD).

The contest received an enthusiastic response from the scientific community — the winning entry was chosen following more than 630 downloads of the dataset from teams in 21 countries.

The LIONsolver team’s winning entry provided proof of concept for a “machine learning approach” that could unveil clues to PD onset and progression embedded in data collected on smartphones. LIONsolver’s project proved the feasibility and value of gathering mobile data for monitoring PD, while laying the groundwork for further analysis of larger, and potentially more powerful, datasets using LIONsolver’s machine learning platform. Read more

Schema.org, Learning Resource Metadata Initiative Join Hands In Boost To Educational Content Searches

Courtesy: Flickr/ Sean MacEntee

Earlier this month word came of a revision to schema.org: Version 1.0a additions, according to this posting from Dan Brickley, include the Datasets vocabulary, and some supporting utility terms for describing schema.org types, properties and their inter-relationships. One of the gems in the update are additions related to the Learning Resource Metadata Initiative (LRMI), an effort led by the Association of Educational Publishers and Creative Commons, which has as its goals making it easier to publish, discover and delivery quality educational resources on the web. The Bill and Melinda Gates Foundation and the William and Flora Hewlett Foundation helped fund the work.

With schema.org serving as a catalyst for its work, the LRMI developed a common metadata framework for tagging online learning resources, with the idea of having that metadata schema incorporated into Schema.org. With that now the case, it’s possible for publishers or curators of educational content to use LRMI markup and have that metadata recognized by the major search engines.

“One of the reasons why education was one of the first extensions of schema.org is that the education industry is going through some very interesting times,” says Madi Weland Solomon, head of Data Architecture Standards at education company Pearson plc, one of the LRMI project launch partners.

Read more

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