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
A recent article in Medical Xpress reports, “Machine learning has been improved by Dr Thomas Wilhelm of the Institute of Food Research, which is strategically funded by the Biotechnology and Biological Sciences Research Council. Instead of developing one model from the training data, his technique involves developing hundreds of diverse models, and applying these to independent, unseen data, and seeing which models work best in their ability to predict outcomes. This avoids ‘overfitting’ of a model to a specific training data set. The new technique can be applied to many different situations, but Dr Wilhelm applied it to epigenetic data on cervical cancer.” Read more
NEW YORK, NEW YORK, Jul 31, 2014 — ADmantX, the next-generation contextual analysis and semantic data provider, today announced the completion of $2.4M financing. As demand for new audience data and semantic targeting increases, the investment will support the company’s strategy for commercial expansion and evolution of its product line.
Increasing reliance on data for brand protection, audience profiling and optimizing the match between ads and page content require solutions for targeting that are innovative and effective. Read more
Daniel Newman of Forbes recently wrote, “Businesses today are largely online and they have in droves taken their web presence from where it was a few years ago which was likely an “Online Brochure” to some type of second generation website that considers trends such as social media, content marketing, and of course search engine optimization. The reason we as business owners do all of this isn’t because we love technology (not all of us, at least), but rather because we know that people are doing more and more of their research about what they want to buy, and who from, online.” Read more
Like the oil and gas itself, data from oil and gas operations associated with the Norwegian Continental Shelf (NCS) is also flowing. Through a number of semantically enabled hubs, it is getting integrated, refined, and distributed to different parties. EPIM, the Exploration & Production Information Management Association, is implementing its vision of a shared suite of knowledge based-applications for the Norwegian Oil & Gas industry built using semantic web standards and the domain concepts from ISO 15926 [Wikipedia].
In this brief article, we give an overview of the three applications EPIM currently in deployment (shown in the graphic below).
In building and deploying these applications, some key features and insights applicable to other applications that involve data integration across diverse systems emerge:
- A semantic ecosystem needs to accommodate flexible co-existence with other technologies, notably XML and JSON. All applications in EPIM’s vision of integration involve interoperability with these and other technologies;
- ISO 15926 has been effective for supporting EPIM’s reporting needs, but can present a challenge, in terms of its complexity, for efficiently harnessing it within evolvable, model-driven solutions. The successful work with these models demonstrates that semantic web standards are sufficiently mature, rich and powerful to handle very complex models;
- Model-driven approaches using semantic technologies, especially SPARQL and technologies that build on it, are highly effective for extensible applications. Development and deployment responsiveness to changing requirements proved to be very rapid.
At the upcoming Semantic Technology & Business Conference in San Jose, Dr. Terry Roach, principal of CAPSICUM Business Architects, and Dr. Dean Allemang, principal consultant at Working Ontologist, will host a session on A Semantic Model for an Electronic Health Record (EHR). It will focus on Australia’s electronic-Health-As-A-Service (eHaas) national platform for personal electronic health records, provided by the CAPSICUM semantic framework for strategically aligned business architectures.
Roach and Allemang participated in an email interview with The Semantic Web Blog to preview the topic:
The Semantic Web Blog: Can you put the work you are doing on the semantic EHR model in context: How does what Australia is doing with its semantic framework compare with how other countries are approaching EHRs and healthcare information exchange?
Roach and Allemang: The eHaaS project that we have been working on has been an initiative of Telstra, a large, traditional telecommunications provider in Australia. Its Telstra Health division, which is focused on health-related software investments, for the past two years has embarked on a set of strategic investments in the electronic health space. Since early 2013 it has acquired and/or established strategic partnerships with a number of local and international healthcare software providers ranging from hospital information systems [to] mobile health applications [to] remote patient monitoring systems to personal health records [to] integration platforms and health analytics suites.
At the core of these investments is a strategy to develop a platform that captures and maintains diverse health-related interactions in a consolidated lifetime health record for individuals. The eHaaS platform facilitates interoperability and integration of several health service components over a common secure authentication service, data model, infrastructure, and platform. Starting from a base of stand-alone, vertical applications that manage fragmented information across the health spectrum, the eHaaS platform will establish an integrated, continuously improving, shared healthcare data platform that will aggregate information from a number of vertical applications, as well as an external gateway for standards-based eHealth messages, to present a unified picture of an individual’s health care profile and history.
Andrew Osborne, CTO of GS1 UK recently shared an overview of how the non-profit is leveraging the Semantic Web to improve customer experiences. He writes, “For those of you unfamiliar with what GS1 actually does, we are a not-for-profit standards development organisation. Put simply, our role is to define data structures and how these are used to identify things, a role we have been performing since the 1970s. We provide a series of ‘keys’ for industry which identify various types of entity (products, locations, assets and so on) and which have highly developed allocation rules. We have also defined product attributes for bar coding (the application identifier standards), have over 1,000 product attributes defined for synchronisation in the Global Data Synchronisation Network and an extensive Global Product Classification that is used to categorise products. For visibility systems we have a standard ‘Core Business Vocabulary.’ “ Read more
Suzanne Kattau of Silicon Angle reports, “IBM and the United Services Automobile Association (USAA), a financial services provider for the military community, today announced they have teamed up to offer IBM’s Watson Engagement Advisor in a pilot program to assist USAA members. USAA provides insurance, banking, investments, retirement products and advice to 10.4 million current and former members of the U.S. military and their families. Named after IBM founder Thomas J. Watson, IBM Watson uses natural language processing and analytics, and can process information similar to the way people think. This helps organizations to quickly analyze, understand and respond to vast amounts of Big Data. IBM’s Watson Engagement Advisor analyzed USAA’s business data and now understands more than 3,000 documents on topics exclusive to military transitions.” Read more
Digital Reasoning’s Synthesys machine learning platform (which The Semantic Web Blog initially covered here) this summer should see its Version 3.9 release. The update will build on the 3.8 release, which delivered with its Glance user interface the discovery and investigative capabilities that help information analysts in finance, intelligence and other compliance- and security-sensitive sectors react to findings in user profiles of interest and their associated relationships, activities and risks. Version 3.9 takes on the proactive part of the equation — early risk detection — via its Scout user interface.
Last year, the company honed in on compliance use cases ranging from insider trading to money laundering with Version 3.7 of Synthesys (covered here). There, the technology for discovering the meaning in unstructured data at scale, highlighting important entities in context, was applied to email communications for organizations such as financial institutions that have to be on the lookout for conversations that cross compliance boundaries.
BOULDER, Colo. & SAN FRANCISCO–(BUSINESS WIRE)–sovrn Holdings, Inc., advocate of and partner to almost 20,000 publishers across the independent web, today announced it is partnering with Temnos, a leading content analytics company, to analyze, filter and organize millions of pages of content across sovrn’s network. Using the Temnos Content Intelligence Platform, sovrn will be able to deliver highly targeted content and more relevant online ads, giving publishers more opportunities to monetize their content and marketers the ability to maximize reach, performance and brand awareness. Read more