The MIT Technology Review reports, “Back in July, Cedric Moro started a crowdsourced mapping service to keep track of the spread of Ebola in Sierra Leone, Liberia and Guinea. Moro is a risk consultant who has created several crowdsourced maps of this kind using the openStreetMap project Umap. Anyone can enter information about suspected or confirmed Ebola cases while hospitals and other health facilities can tell people whether they are open and functioning and how many spare beds they have.” Read more
Josh Constine of Tech Crunch recently wrote, “They call it Truffle Pig, and it’s ProTools for playlists. Punch in parameters like ‘danceability’, date ranges, or emotions and Truffle Pig spits out a set of top jams that would fit your ‘Lovesick 90s Party Starters’ playlist. Truffle Pig is just one of the new musical inventions dreamed up at the sonic skunkworks born from Spotify’s $100 million acquisition of The Echo Nest. Deep inside Spotify’s New York headquarters, the team gave me a peek how the combined company plans to nail recommendations, hook other apps up with legal music, and meld human DJs with algorithms to surface the best songs from the history of recorded sound.” Read more
WEBINAR: The Yosemite Project – Part 1: An RDF Roadmap for Healthcare Information Interoperability (VIDEO)
In case you missed last Friday’s webinar, “The Yosemite Project – Part 1: An RDF Roadmap for Healthcare Information Interoperability” delivered by David Booth, the recording and slides are now available (and posted below). The webinar was co-produced by SemanticWeb.com and DATAVERSITY.net and runs for one hour, including a Q&A session with the audience that attended the live broadcast.
If you watch this webinar, please use the comments section below to share your questions, comments, and ideas for webinars you would like to see in the future.
About the Webinar
Interoperability of electronic healthcare information remains an enormous challenge in spite of 100+ available healthcare information standards. This webinar explains the Yosemite Project, whose mission is to achieve semantic interoperability of all structured healthcare information through RDF as a common semantic foundation. It explains the rationale and technical strategy of the Yosemite Project, and describes how RDF and related standards address a two-pronged strategy for semantic interoperability: facilitating collaborative standards convergence whenever possible, and crowd-sourced data translations when necessary.
At the IESD14 (Intelligent Exploration of Semantic Data) challenge at this week’s ISWC 2014, the award was handed out to LEAPS: A Semantic Web and Linked Data Framework for the Algal Biomass Domain. The application is the work of Monika Solanki, while at the Knowledge-Based Engineering Lab at Birmingham City University in the UK.
The motivation, according to slides about the project, relates to the idea that algae biomass-based biofuels could serve as a naturally viable and sustainable energy source alternative to fossil fuels. While many companies, governments and non-profit agencies have been researching the idea, knowledge gathered exists in diverse formats and proprietary databases. What’s lacking has been a knowledge level infrastructure that is equipped with the capabilities to provide semantic grounding to the datasets for algal biomass, the slides note.
The Stanford Center for Biomedical Informatics Research is looking for a Senior Software Engineer in Palo Alto, CA. According to the post, this position “involves end-to-end development of a large Web application architecting solutions for both back-end and front-end requirements. One specific important component will be the interface to the existing web application for storage and retrieval of metadata models. Propose, design, document and implement the back-end features and functionality of the Web software, including its interface to existing systems. Take user requirements, research potential solutions, and make decisions about implementations. Troubleshoot and resolve complex backend problems and optimize system performance.” Read more
Jordan Novet of Venture Beat reports, “Idibon, a startup that has developed applications that make sense of text in scores of languages, has raised $5.5 million in new funding. Following its launch in January, Idibon has attracted business from Edmunds.com, Samsung, the United Nations, and some global consulting firms, among others. And the startup has worked with text from sources in more than 50 languages. Idibon is not satisfied, though. The new funding it’s announcing today should help it do much more business. ‘We’re seeing a lot of just unmet demand,’ Idibon chief executive and co-founder Rob Munro told VentureBeat in an interview.” Read more
Oluwabusayo Sotunde of Ventures Africa reports, “Africa’s most innovative bank, Standard Bank Plc has reached an agreement with leading IT services provider, IBM to implement the latter’s new Watson technology. IBM’s Watson technology breaks traditional barriers in computing by embracing artificial intelligence, natural language processing and dynamic learning when assisting customers and businesses with the interpretation of data. Head of Innovation and Channel Design at Standard Bank, Vuyo Mpako explained that the bank partnered with IBM so it could consolidate the technology into its operating system. This would enable Standard Chartered efficiently interpret and maximise its data.” Read more
Syapse is looking for a Semantic Server Engineer in Palo Alto, CA. According to the post, “We are looking for an experienced back end developer to join us in building out our server-side semantic data stack. At Syapse, semantic technologies (RDF, SPARQL, OWL) are our foundation for organizing and integrating biomedical, genomics, and clinical data. Building this foundation out involves a mix of applying innovative technologies, and building an industrial strength, scalable back end. You will be joining a team that includes some semantic technology veterans, but has plenty of room for fresh thinking and design. You will be working with a mix of open-source and proprietary software to construct the back end for our data platform and application suite.” Read more
Predixion Software Removes Barriers to Deployment of Predictive Analytics With Release of Predixion Insight 4.0
NEW YORK, NY–(Marketwired – Oct 15, 2014) – Strata + Hadoop World, Booth #103 -Predixion Software, a developer of cloud-based predictive analytics software, today released Predixion Insight 4.0, the latest version of its powerful predictive analytics platform. The new release expedites the deployment of predictive analytics directly to the point of front-line decisions, and expands predictive capabilities across a wider variety of production environments, such as applications, databases, data stores, real-time engines, devices and machines. By removing barriers to deploying predictive analytics, Predixion Insight 4.0 enables companies to achieve the full potential of their data investments. Read more
Jordan Novet of Venture Beat reports, “Many people know Google first and foremost as a search engine company. But really it’s a machine-learning company, using data to make predictions that get incorporated into applications like search and advertising without people even realizing it. Today Google is announcing in a blog post that people can now choose to apply its machine-learning savvy to Google Sheets, the company’s spreadsheet app, to make educated guesses and fill in blank cells. This applied use of machine learning follows Microsoft’s recent announcement of a cloud-based service for that purpose, Azure Machine Learning.” Read more