MIAMI–(BUSINESS WIRE)–Senzari® today announced MusicGraph, the world’s first knowledge engine for music, which will be available as a consumer app across most major mobile platforms, as well as a powerful “graph API” that can be leveraged by developers to enhance their applications with deep musical intelligence. MusicGraph contains over a billion facts that have been organized into a rich music ontology, which includes acoustical and lyrical features, detailed artist, album and song information, as well hundreds of other data points related user preferences. Read more
The health care industry – and the American citizenry at large – has been focused of late on the problems surrounding the implementation of the Affordable Care Act, the federal website’s issues foremost among them. But believe it or not, there are other things the healthcare industry needs to prepare for, among them the October 1, 2014 date for replacing the World Health Organization’s International Statistical Classification of Diseases and Related Health Problems ICD-9 code sets used to report medical diagnoses and inpatient procedures by ICD-10 code sets. ICD-9 uses 14,000 diagnosis codes which will increase to 68,000 in ICD-10, which is a HIPAA (Health Insurance Portability and Accountability Act) code set requirement.
Natural language processing has had the primary role in many solutions aimed at transforming large volumes of unstructured clinical data into information that healthcare IT application vendors and their hospital customers can leverage. But there’s an argument being made that understanding unstructured text of clinical notes that contain a huge stash of information and then mapping them to fine-grained ICD-10 coding schemes requires a combination of NLP, advanced linguistics, machine learning and semantic web technologies, and Amit Sheth, professor of computer science and engineering at Wright State University and director of the Kno.e.sis Center is making them. (See our story yesterday for a look at how the NLP market is evolving overall, including in healthcare.)
“ICD-10 has thousands of codes with millions of possible permutations and combinations. A rule-based approach is not effective to cover the huge number of ICD-10 codes.” Sheth says. Extracting the correct concepts, identifying the relationship between these concepts and mapping them to the correct code is a major challenge, with codes often formed by information from various sections of a clinical document that itself is subject to individual physicians’ style of recording information, among other factors.
Sem Tech Solution For Materials Design And Development Wins Small Business Innovation Research Grant
A Small Business Innovation Research grant, sponsored by the U.S. Air Force through the Office of the Secretary of Defense, has gone to a semantic technology solution for materials design and development. The project is aligned with the Materials Genome Initiative that’s targeted to accelerate the pace of discovery and deployment of advanced material systems.
“This will help to showcase the semantic web technologies and methodologies in a large and meaningful domain and application area,” says Sam Chance, Innovation Evangelist and Special Programs Lead at iNovex Information Systems, which is the principal investigator and technical agent for development and integration for the project that will leverage W3C semantic standards. The project also includes as team members the University of Queensland, Penn State University, SRI International’s Materials Laboratory, and with Cambridge Semantics for access to its semantic tools to be bootstrapped onto the solution.
The University of Queensland brings to the effort a high-level domain ontology to represent structured knowledge about materials, their structure and properties and the processing steps involved in their composition and engineering, as well as certain case studies and data sources around jet fuels for hypersonic flight that are considered part of the materials design domain. The group at Penn State has been involved with the Materials Genome Initiative and also brings to the work particular case studies and data sources, this time for materials with nickel alloy as the base system. SRI has case studies and data sources for turbine blade coating.
CHICAGO, ILLINOIS–(Marketwired – Oct. 16, 2013) - Expert System, the semantic technology company, today announces the availability of the “freemium” version of its semantic API on Mashape, the online API marketplace. Cogito Intelligence API is the first API for the semantic analysis of large quantities of unstructured texts for supporting intelligence, counter crime and cybersecurity activities. Read more
Joseph Janes, editor of Library 2020, recently shared an excerpt from that publication on LibraryJournal.com. The article envisions two research libraries in the year 2020, one that has embraced technology, and one that has not. Janes prefaces the article, “Transformation. The word is so pervasive these days, it’s a cliché. We’re so inured to it—even tired of it—that it’s becoming background noise, and perhaps some of us don’t hear it anymore. As we all know, accomplishing real transformation is easier said than done. This is the theme taken up by Mary Ann Mavrinac in her essay for Library 2020, which LJ excerpts here. She is the vice provost and dean of River Campus Libraries at the University of Rochester, NY; I met her when teaching a few summers ago at the University of Toronto, when she was running the splendid library at its campus in Mississauga.” Read more
Drew Turney of WA Today recently wrote, “Today your smartphone knows your location, so everything from the local weather to nearby Facebook friends is available. What about tomorrow when your jacket can measure your vital signs or a hat can extrapolate your mood from your brain activity? Connect it with information on your schedule (from your calendar), spatial information such as whether you’re running or at rest, the time of day and a hundred other factors, and machines everywhere can decide on, find and present the information they think you need. The field is opened even wider by search technology that finds abstract connections for you, rather than you starting a search at a given point. A system out of Bangalore, India called CollabLayer lets you watch for specific keywords you assign to almost any kind of data in a network.” Read more
McLean, VA, US and Stevenage, UK (PRWEB UK) 16 September 2013 — Concept Searching, a global leader in semantic metadata generation, auto-classification, and taxonomy management software, and developer of the Smart Content Framework™, is pleased to announce the webinar schedule for October 2013. Concept Searching webinars cover a variety of topics such as SharePoint, Office 365, solving business challenges, IT trends, and include the popular ‘How To’ technology series. The webinars have speakers who are experts in their respective fields, to offer best practices and use cases.
The month of October is focused on compliance, information management, and open-source environments, and the ‘How To’ SharePoint webinars focus on securing sensitive information, and using intelligent metadata in records management. Read more
Darrell Etherington of Tech Crunch recently reported, “After a successful pilot project, Tel Aviv startup Jinni [a company we have covered multiple times over recent years], a provider of natural language processing-based video content recommendations, has been chosen by Xbox to power its Xbox content catalog recommendations over the course of a multi-year licensing agreement. Jinni wouldn’t reveal the terms of the deal, but it will bring their tech front and center to the Xbox and its show and movie library.” Read more
Sanjiva Nath of InfoWorld recently wrote, “The problem of integrating enterprise applications is not new. But the demand for integration and the complexity of implementing it keep increasing, thanks to rising adoption of SaaS and market forces that push teams to improve their collaboration and delivery capabilities. Traditional enterprise application integrations have proven time-consuming and expensive, typically involving months of effort and significant cost. A big contributor to this overhead is the fact that integration schemes typically lack any formal representation of application data — that is, metadata. As a result, the interpretation of the application data and its mapping to any integration scheme becomes a manual, tedious, and nonrepeatable process.” Read more